Take-home_Ex2: Applied Spatial Interaction Models- A case study of Singapore public bus commuter flows
Setting the Scene
The challenges in urban mobility confront transport operators and city managers. Traditional methods like commuter surveys, despite being costly and time-consuming, have been used to address these questions. However, the delays in cleaning and analyzing survey data often render it outdated by the time reports are ready. The digitization of city-wide infrastructures offers a solution by using data from digital platforms such as GPS and SMART cards.
Currently, although there are a large amount of open data available for public consumption, there are not much research to make use of these data and lack of practical research (using Geospatial Data Science and Analysis) to support policy making decisions.
Objective
Our task for this take-home exercise is to conduct a case study to demonstrate the potential value of GDSA to integrate publicly available data from multiple sources for building a spatial interaction models to determine factors affecting urban mobility patterns of public bus transit.
The Data
Open Government Data
For the purpose of this assignment, data from several open government sources will be used:
Passenger Volume by Origin Destination Bus Stops, Bus Stop Location, Train Station (Feb 2023) and Train Station Exit Point (Aug 2023), just to name a few of them, from LTA DataMall.
Master Plan 2019 Subzone Boundary, HDB Property Information, School Directory and Information and other relevant data from Data.gov.sg.
Specially collected data
- Businesses, retail and services, leisure and recreation, etc geospatial data sets assemble by course instructor.
The Task
The specific tasks of this take-home exercise are as follows:
Geospatial Data Science
Derive an analytical hexagon data of 375m (this distance is the perpendicular distance between the centre of the hexagon and its edges) to represent the traffic analysis zone (TAZ).
With reference to the time intervals provided in the table below, construct an O-D matrix of commuter flows for ONE time interval of our choice by integrating Passenger Volume by Origin Destination Bus Stops and Bus Stop Location from LTA DataMall. The O-D matrix must be aggregated at the analytics hexagon level. I have selected the Weekday Morning Peak for this take home exercise.
Peak hour period Bus tap on time Weekday morning peak (selected) 6am to 9am Weekday afternoon peak 5pm to 8pm Weekend/holiday morning peak 11am to 2pm Weekend/holiday evening peak 4pm to 7pm Display the O-D flows of the passenger trips by using appropriate geovisualisation methods (not more than 5 maps).
Describe the spatial patterns revealed by the geovisualisation (not more than 100 words per visual).
Assemble at least three propulsive and three attractiveness variables by using aspatial and geospatial from publicly available sources.
Compute a distance matrix by using the analytical hexagon data derived earlier.
Spatial Interaction Modelling
Calibrate spatial interactive models to determine factors affecting urban commuting flows at the selected time interval.
Present the modelling results by using appropriate geovisualisation and graphical visualisation methods. (Not more than 5 visuals)
With reference to the Spatial Interaction Model output tables, maps and data visualisation prepared, describe the modelling results. (not more than 100 words per visual).
Getting Started
In this exercise, the following libraries will be used:
sfpackage to perform geoprocessing taskssp package , although an older package, is more efficient for computation of large data.
sfdep package which builds upon
spdeppackage (compute spatial weights matrix and spatially lagged variable for instance..)tmap to create geovisualisations
stplanr for solving common problems in transport planning and modelling, such as how to best get from point A to point B
tidyversethat supports data science, analysis and communication task including creating static statistical graphs.knitrto create html tablesDT library to create interactive html tables
ggpubr for some easy-to-use functions for creating and customizing ‘ggplot2’- based publication ready plots.
performance for for computing measures to assess model quality, which are not directly provided by R’s ‘base’ or ‘stats’ packages. The primary goal of the performance package is to provide utilities for computing indices of model quality and goodness of fit. These include measures like r-squared (R2), root mean squared error (RMSE)
reshape2is an old tool from base R. It handles matrix well for our distance matrix, like pivoting function like
melt(). Tidyverse does not handle matrix very well.ggplot2 to plot graphs
plotly to plot interactive graphs
Importing Data
Aspatial data
Import the Passenger volume by Origin Destination Bus Stops dataset downloaded from the LTA Datamall by using the read_csv() of the readr package.
Check the data fields
Rows: 5,709,512
Columns: 7
$ YEAR_MONTH <chr> "2023-08", "2023-08", "2023-08", "2023-08", "2023-…
$ DAY_TYPE <chr> "WEEKDAY", "WEEKENDS/HOLIDAY", "WEEKENDS/HOLIDAY",…
$ TIME_PER_HOUR <dbl> 16, 16, 14, 14, 17, 17, 17, 17, 7, 17, 14, 10, 10,…
$ PT_TYPE <chr> "BUS", "BUS", "BUS", "BUS", "BUS", "BUS", "BUS", "…
$ ORIGIN_PT_CODE <chr> "04168", "04168", "80119", "80119", "44069", "4406…
$ DESTINATION_PT_CODE <chr> "10051", "10051", "90079", "90079", "17229", "1722…
$ TOTAL_TRIPS <dbl> 7, 2, 3, 10, 5, 4, 3, 22, 3, 3, 7, 1, 3, 1, 3, 1, …Processing the aspatial OD data
The ‘ORIGIN_PT_CODE’ and ‘DESTINATION_PT_CODE’ field is in character field. We will convert it to factor data type.
The function below will extract origin data based on the four time intervals required by the task. The expected arguments are
- daytype: ‘WEEKDAY’ or ‘WEEKENDS/HOLIDAY’
- timeinterval: c(6,8) if we want data from 6am to 9am.
The function will also compute the sum of all trips by ‘ORIGIN_PT_CODE’ for each time interval and stored under a new field called ‘TRIPS’.
Let’s get the data using get_origin function
Take a look at the weekday morning peak dataframe.
Geospatial data
First, we will import the Bus Stop Location shapefiles into R. The output will be a sf point object with 5161 points and 3 fields. As the raw data is in WSG84 geographical coordinate system, we will convert it to EPSG 3414, the projected coordinate system for Singapore.
busstop <- st_read(dsn="data/geospatial/BusStopLocation/BusStopLocation_Jul2023", layer = "BusStop") %>%
st_transform(crs = 3414)Reading layer `BusStop' from data source
`C:\yixin-neo\ISSS624_AGA\Take-home_Ex2\data\geospatial\BusStopLocation\BusStopLocation_Jul2023'
using driver `ESRI Shapefile'
Simple feature collection with 5161 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3970.122 ymin: 26482.1 xmax: 48284.56 ymax: 52983.82
Projected CRS: SVY21Simple feature collection with 5161 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3970.122 ymin: 26482.1 xmax: 48284.56 ymax: 52983.82
Projected CRS: SVY21 / Singapore TM
First 10 features:
BUS_STOP_N BUS_ROOF_N LOC_DESC geometry
1 22069 B06 OPP CEVA LOGISTICS POINT (13576.31 32883.65)
2 32071 B23 AFT TRACK 13 POINT (13228.59 44206.38)
3 44331 B01 BLK 239 POINT (21045.1 40242.08)
4 96081 B05 GRACE INDEPENDENT CH POINT (41603.76 35413.11)
5 11561 B05 BLK 166 POINT (24568.74 30391.85)
6 66191 B03 AFT CORFE PL POINT (30951.58 38079.61)
7 23389 B02A PEC LTD POINT (12476.9 32211.6)
8 54411 B02 BLK 527 POINT (30329.45 39373.92)
9 28531 B09 BLK 536 POINT (14993.31 36905.61)
10 96139 B01 BLK 148 POINT (41642.81 36513.9)Are there any duplicates in ‘BUS_STOP_N’ in busstop?
Checking for duplicates in the ‘BUS_STOP_N’ field reveals that there are about 16 repeated bus stop numbers. Note that they have different geometry points in the simple feature busstop object above. These could be due to temprorary bus stops . We should remove these duplicated bus stops number or else it will give us problems when we try to map these bus stops to a grid_id in the Traffic Analysis Zone (TAZ).
busstop %>%
st_drop_geometry() %>%
group_by(BUS_STOP_N) %>%
filter(n()>1) %>%
ungroup() %>%
arrange(BUS_STOP_N)# A tibble: 32 × 3
BUS_STOP_N BUS_ROOF_N LOC_DESC
<chr> <chr> <chr>
1 11009 B04 Ghim Moh Ter
2 11009 B04-TMNL GHIM MOH TER
3 22501 B02 Blk 662A
4 22501 B02 BLK 662A
5 43709 B06 BLK 644
6 43709 B06 BLK 644
7 47201 UNK <NA>
8 47201 NIL W'LANDS NTH STN
9 51071 B21 MACRITCHIE RESERVOIR
10 51071 B21 MACRITCHIE RESERVOIR
# ℹ 22 more rowsTake for instance bus stop number 51071 with two different point geometry values.
Simple feature collection with 1 feature and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 28311.27 ymin: 36036.92 xmax: 28311.27 ymax: 36036.92
Projected CRS: SVY21 / Singapore TM
BUS_STOP_N BUS_ROOF_N LOC_DESC geometry
3470 51071 B21 MACRITCHIE RESERVOIR POINT (28311.27 36036.92)Simple feature collection with 1 feature and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 28282.54 ymin: 36033.93 xmax: 28282.54 ymax: 36033.93
Projected CRS: SVY21 / Singapore TM
BUS_STOP_N BUS_ROOF_N LOC_DESC geometry
3472 51071 B21 MACRITCHIE RESERVOIR POINT (28282.54 36033.93)Removing duplicated bus stops
Double check again that duplicated bus stops have been removed.
busstop %>%
st_drop_geometry() %>%
group_by(BUS_STOP_N) %>%
filter(n()>1) %>%
ungroup() %>%
arrange(BUS_STOP_N)# A tibble: 0 × 3
# ℹ 3 variables: BUS_STOP_N <chr>, BUS_ROOF_N <chr>, LOC_DESC <chr>Import the MPSZ-2019 data.
It is a multipolygon sf object with 332 features / subzones/ units.
Reading layer `MPSZ-2019' from data source
`C:\yixin-neo\ISSS624_AGA\Take-home_Ex2\data\geospatial\MPSZ-2019'
using driver `ESRI Shapefile'
Simple feature collection with 332 features and 6 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: 103.6057 ymin: 1.158699 xmax: 104.0885 ymax: 1.470775
Geodetic CRS: WGS 84Simple feature collection with 332 features and 6 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: 2667.538 ymin: 15748.72 xmax: 56396.44 ymax: 50256.33
Projected CRS: SVY21 / Singapore TM
First 10 features:
SUBZONE_N SUBZONE_C PLN_AREA_N PLN_AREA_C REGION_N
1 MARINA EAST MESZ01 MARINA EAST ME CENTRAL REGION
2 INSTITUTION HILL RVSZ05 RIVER VALLEY RV CENTRAL REGION
3 ROBERTSON QUAY SRSZ01 SINGAPORE RIVER SR CENTRAL REGION
4 JURONG ISLAND AND BUKOM WISZ01 WESTERN ISLANDS WI WEST REGION
5 FORT CANNING MUSZ02 MUSEUM MU CENTRAL REGION
6 MARINA EAST (MP) MPSZ05 MARINE PARADE MP CENTRAL REGION
7 SUDONG WISZ03 WESTERN ISLANDS WI WEST REGION
8 SEMAKAU WISZ02 WESTERN ISLANDS WI WEST REGION
9 SOUTHERN GROUP SISZ02 SOUTHERN ISLANDS SI CENTRAL REGION
10 SENTOSA SISZ01 SOUTHERN ISLANDS SI CENTRAL REGION
REGION_C geometry
1 CR MULTIPOLYGON (((33222.98 29...
2 CR MULTIPOLYGON (((28481.45 30...
3 CR MULTIPOLYGON (((28087.34 30...
4 WR MULTIPOLYGON (((14557.7 304...
5 CR MULTIPOLYGON (((29542.53 31...
6 CR MULTIPOLYGON (((35279.55 30...
7 WR MULTIPOLYGON (((15772.59 21...
8 WR MULTIPOLYGON (((19843.41 21...
9 CR MULTIPOLYGON (((30870.53 22...
10 CR MULTIPOLYGON (((26879.04 26...Creating hexagon layer
Before we can plot the base layer, we have to create hexagonal grids of 375 m (middle to edge) using the mpsz multipolygon sf object using sf.
First , create a grid which the extent equals to the bounding box of the busstop points using st_make_grid().
- To create hexagons of 375m (centre to edge), we should input 750 for ‘cellsize’ parameter. ‘Cellsize’ is defined as the distance from edge to edge.
- Convert to
sfobject and add a unique identifier to each hexagon grid. The output has 834 hexagon units. - Use st_intersects() to count the number of in each hsubzones in each hexagon.
- Filter to retain only hexagons with at least one subzone. The output
bs_counthas 1945 hexagon units.
If we like to, we could save the above hexagon layer to disk.
Read bs_count in R
Reading layer `bs_count_750' from data source
`C:\yixin-neo\ISSS624_AGA\Take-home_Ex2\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 834 features and 2 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 3595.122 ymin: 26049.09 xmax: 48595.12 ymax: 53545.39
Projected CRS: SVY21 / Singapore TMHow does our hexagon layer look like?
We can see that each hexagon contains a minimum of 1 bus stop and up to a maximum of 19 bus stops.
Geospatial data wrangling
Combining busstop (point sf) and sz_count (polygon sf)
We have to assign a ‘grid_id’ to each bus stops.
The code chunk below performs points and hexagon polygon overlap using st_intersection() and the output will be in sf point object.
Before overlapping:
busstop : 5145 points
bs_count hexagon base layer: 834 hexagons
After overlapping:
busstop_hex : 5145 points suggesting all bus stops falls within at least one hexagon grid. This is good result because we are not losing any bus stops.
busstop_hex <- st_intersection(busstop, bs_count) %>%
select(BUS_STOP_N, LOC_DESC, grid_id, num_bs)
busstop_hexSimple feature collection with 5145 features and 4 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3970.122 ymin: 26482.1 xmax: 48284.56 ymax: 52983.82
Projected CRS: SVY21 / Singapore TM
First 10 features:
BUS_STOP_N LOC_DESC grid_id num_bs geometry
3261 25059 AFT TUAS STH BLVD 23 1 POINT (3970.122 28063.28)
2565 25751 BEF TUAS STH AVE 14 44 1 POINT (4427.939 28758.67)
254 26379 YONG NAM 46 2 POINT (4473.292 30681.57)
2398 26369 SEE HUP SENG 46 2 POINT (4604.363 31212.96)
2824 25741 HALLIBURTON 66 1 POINT (5060.733 29212.4)
1714 26399 AFT TUAS VIEW CRES 67 4 POINT (5079.51 30214.42)
2822 25719 THE INDEX 67 4 POINT (4799.476 30158.46)
2823 25711 OPP THE INDEX 67 4 POINT (4831.438 30132.43)
4189 26389 BEF TUAS STH AVE 5 67 4 POINT (4776.694 30324.88)
1564 26299 BEF TUAS STH AVE 6 68 1 POINT (4879.489 31948.93)Drop the geometry column of busstop_hex.
busstop_hex_geo <- busstop_hex
busstop_hex <- busstop_hex %>%
st_drop_geometry()
datatable(busstop_hex, class = 'cell-border stripe', options = list(pageLength = 5))Are there duplicates in busstop_hex ?
Let us check for duplicates in busstop_hex df as it will be used to perform a left join later.
The output shows that there are no duplicate rows.
# A tibble: 0 × 4
# ℹ 4 variables: BUS_STOP_N <chr>, LOC_DESC <chr>, grid_id <int>, num_bs <int>Construct an O-D matrix of commuter flows for the morning weekday peak hour
This is how a typical Origin-Destination flow table would look like:
It contains the number of trips between pairs of origin and destination hexagons.
To get the table above, perform left join between day_am and busstop_hex df twice.
First, we append the grid_id from busstop_hex data frame onto day_am data frame. By doing so, we get the fields ‘ORIGIN_GRID_ID’ and ‘ORIGIN_LOC_DESC’ (for tooltip later)from busstop_hex into day_am.
Before join:
day_am : 224,363 rows
After join:
od_data: 224,363 rows
Check for duplicate before proceeding. There are no duplicates.
duplicate <- od_data %>%
group_by_all() %>%
#group_by(ORIGIN_BS, DESTIN_BS) %>%
filter(n()>1) %>%
ungroup()
duplicate# A tibble: 0 × 6
# ℹ 6 variables: ORIGIN_BS <chr>, DESTIN_BS <fct>, TRIPS <dbl>,
# ORIGIN_LOC_DESC <chr>, ORIGIN_GRID_ID <int>, num_bs <int>Next, perform another left join between day_am and busstop_hex df to get the ‘DESTIN_GRID_ID’ and the ‘DESTIN_LOC_DESC’ into day_am df. The number of rows before and after the left joins are the same.
Check for duplicates. The output shows that there are no duplicates.
duplicate <- od_data %>%
group_by_all() %>%
#group_by(ORIGIN_BS, DESTIN_BS) %>%
filter(n()>1) %>%
ungroup()
duplicate# A tibble: 0 × 9
# ℹ 9 variables: ORIGIN_BS <chr>, DESTIN_BS <chr>, TRIPS <dbl>,
# ORIGIN_LOC_DESC <chr>, ORIGIN_GRID_ID <int>, num_bs_origin <int>,
# DESTIN_LOC_DESC <chr>, DESTIN_GRID_ID <int>, num_bs_destin <int>Final clean-up of od_data df.
The code chunk below will do the following:
There are missing grid_ids for some of the origin and destination bus stop because the Bus Stops Location data uploaded by LTA in July 2023 could be more outdated than Passenger Volume by Origin Destination Bus Stops data collected in August 2023. We will drop rows with missing values.
Group-by ‘ORIGIN_GRID_ID’ and ‘DESTIN_GRID_ID’ to generate a new field ‘MORNING_PEAK’ that contains the summation of all trips between each pair of i,j hexagons. (i denotes origin and j denotes destination)
| ORIGIN_GRID_ID | DESTIN_GRID_ID | MORNING_PEAK | ORIGIN_DESC | DESTIN_DESC |
|---|---|---|---|---|
| 23 | 67 | 1 | AFT TUAS STH BLVD | THE INDEX |
| 23 | 88 | 2 | AFT TUAS STH BLVD | EDGEN MURRAY |
| 23 | 128 | 2 | AFT TUAS STH BLVD | AFT TUAS STH ST 7 |
We will not be visualising the flows at this point in time because we would like to get ‘dist’ between each hexagon for clearer visuslisation later.
Compute Distance Matrix by analytic hexagon level
First as.Spatial() will be used to convert bs_count from sf tibble data frame to SpatialPolygonsDataFrame of sp object as shown in the code chunk below. The reason for doing so is because it is faster to compute distance matrix using sp than sf package.
Next, spDists() of sp package will be used to compute the Euclidean distance between the centroids of the hexagons.
spDists(x, y = x, longlat = FALSE, segments = FALSE, diagonal = FALSE)
spDists returns a full matrix of distances in the metric of the points if longlat=FALSE, or in kilometers if longlat=TRUE; it uses spDistsN1 in case points are two-dimensional. In case of spDists(x,x), it will compute all n x n distances, not the sufficient n x (n-1).
Recall that bs_count contains 834 hexagons and a 834 x 834 distance matrix dist will be created.
We will print out the first 7 rows of the distance matrix. Notice the column and row headers are not labelled by grid_id.
dist <- sp::spDists(bs_count_sp,
longlat = FALSE) # already projected in EPSG:3414
head(dist, n=c(7, 7)) [,1] [,2] [,3] [,4] [,5] [,6] [,7]
[1,] 0.000 750.000 3269.174 1500.000 2704.163 3968.627 1299.038
[2,] 750.000 0.000 2598.076 750.000 1984.313 3269.174 750.000
[3,] 3269.174 2598.076 0.000 1984.313 750.000 750.000 2704.163
[4,] 1500.000 750.000 1984.313 0.000 1299.038 2598.076 750.000
[5,] 2704.163 1984.313 750.000 1299.038 0.000 1299.038 1984.313
[6,] 3968.627 3269.174 750.000 2598.076 1299.038 0.000 3269.174
[7,] 1299.038 750.000 2704.163 750.000 1984.313 3269.174 0.000Labelling column and row headers of a distance matrix
First, we will create a list sorted according to the the distance matrix by grid_id.
Next we will attach grid_id to row and column for distance matrix matching ahead
grid_id_names <- bs_count$grid_id
colnames(dist) <- paste0(grid_id_names)
rownames(dist) <- paste0(grid_id_names)
dist[1:5,1:5] 23 44 46 66 67
23 0.000 750.000 3269.174 1500.000 2704.163
44 750.000 0.000 2598.076 750.000 1984.313
46 3269.174 2598.076 0.000 1984.313 750.000
66 1500.000 750.000 1984.313 0.000 1299.038
67 2704.163 1984.313 750.000 1299.038 0.000Pivoting distancing value by grid_id
Next, we will pivot the distance matrix into a long table by using the row and column grid_id as show in the code chunk below.
We will use the melt() function of the reshape2 package to convert wide-format data to long-format data. This function will convert wide-format data to a data frame with columns for each combination of row and column indices and their corresponding values.
To do the opposite, used cast().
Var1 Var2 dist
1 23 23 0.000
2 44 23 750.000
3 46 23 3269.174
4 66 23 1500.000
5 67 23 2704.163
6 68 23 3968.627
7 86 23 1299.038
8 87 23 2250.000
9 88 23 3436.932
10 89 23 4683.748There are 695,556 rows in distPair due to 834P2 + 834 = 834 * 833+ 834 possible pairs of hexagon pairs. (Aka the number of possible permutations with replacement)
Three new columns generated, (1) ‘var1’, (2) ‘var2’ and (3) ‘value’ containing the distance for the corresponding hex i -hex j pair; thus rename to ‘dist’
Updating the intra-zonal distances
We will append a constant value to replace the intra-zonal distance of 0.
First, we will remove distance = 0 and find out the minimum value of the inter-zonal distance by using summary().
Var1 Var2 dist
Min. : 23 Min. : 23 Min. : 750
1st Qu.: 871 1st Qu.: 871 1st Qu.: 8352
Median :1324 Median :1324 Median :13332
Mean :1269 Mean :1269 Mean :14162
3rd Qu.:1688 3rd Qu.:1688 3rd Qu.:18929
Max. :2505 Max. :2505 Max. :44680 The minimum inter-hexagon travel was actually 750 m (indicating travelling to adjacent hexagon). If a hexagon’s apothem is 325m (middle to edge), then the length of its long diagonal will be 750m (vertex to opposite vertex).
So we could set the intra-zonal distance to be approximately 300 m.
The code chunk below is used to rename the origin and destination fields.
ORIGIN_GRID_ID DESTIN_GRID_ID dist
1 23 23 300.000
2 44 23 750.000
3 46 23 3269.174
4 66 23 1500.000
5 67 23 2704.163
6 68 23 3968.627Preparing flow data
In this section, our desired output is a dataframe containing number of TRIPS and distance for each origin and destination grid id.
Let us rename the od_data to call it flow_data df.
flow_data <- od_data %>%
group_by(ORIGIN_GRID_ID, DESTIN_GRID_ID) %>%
summarize(TRIPS = sum(MORNING_PEAK))
head(flow_data) %>% kable()| ORIGIN_GRID_ID | DESTIN_GRID_ID | TRIPS |
|---|---|---|
| 23 | 67 | 1 |
| 23 | 88 | 2 |
| 23 | 128 | 2 |
| 23 | 150 | 1 |
| 23 | 154 | 2 |
| 23 | 175 | 53 |
Separating intra-flow from flow_data df
The code chunk below created two new fields
‘FlowNoIntra’ is a column containing distance = 0 for intra-zonal pairs (diagonals).
‘offset’ is also created.
Filter to keep only inter-zonal trips, removing the intra-zonal trips. After filtering, the number of rows reduced from 62, 741 to 62,120 rows.
Rows: 62,120
Columns: 5
Groups: ORIGIN_GRID_ID [817]
$ ORIGIN_GRID_ID <int> 23, 23, 23, 23, 23, 23, 44, 44, 44, 46, 46, 46, 46, 46,…
$ DESTIN_GRID_ID <int> 67, 88, 128, 150, 154, 175, 88, 154, 175, 67, 111, 131,…
$ TRIPS <dbl> 1, 2, 2, 1, 2, 53, 11, 3, 29, 3, 1, 1, 1, 52, 22, 9, 17…
$ FlowNoIntra <dbl> 1, 2, 2, 1, 2, 53, 11, 3, 29, 3, 1, 1, 1, 52, 22, 9, 17…
$ offset <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…Combining passenger volume data (inter-zone) with distance value
Before we can join inter_zonal_flow and distPair, we need to convert data value type of ‘ORIGIN_SZ’ and’DESTIN_SZ’ fields of inter_zonal_flow and distPair dataframes into factor data type.
Now, left_join() of dplyr will be used to inter_zonal_flow dataframe and distPair dataframe. The output is called flow_data1.
Note
Notes:
distPair is a df containing distances for all corresponding subzone pairs (including self, default to 50m). ‘ORIGIN_GRID_ID’, ‘DESTIN_GRID_ID’, ‘dist’
inter_zonal_flow is a df containing ‘ORIGIN_GRID_ID’, ‘DESTIN_GRID_ID’ and ‘TRIPS’
We will now perform a left join with two sets of join keys.
The output flow_data_1 contains distance and total morning peak trips for each possible pairs of grid-ids (self included).
Before left join:
inter_zonal_flow has 62,741 rows.
distPair has 695,556 rows (is the all possible pairs out of 834 hex grid_ids, order matters and with replacement.)
After join:
flow_data1 has 62,741 rows.
inter_zonal_flow has no distance data. flow_data1 has distance data.
flow_data1 <- inter_zonal_flow %>%
left_join (distPair,
by = c("ORIGIN_GRID_ID" = "ORIGIN_GRID_ID",
"DESTIN_GRID_ID" = "DESTIN_GRID_ID"))
glimpse(flow_data1)Rows: 62,120
Columns: 6
Groups: ORIGIN_GRID_ID [817]
$ ORIGIN_GRID_ID <fct> 23, 23, 23, 23, 23, 23, 44, 44, 44, 46, 46, 46, 46, 46,…
$ DESTIN_GRID_ID <fct> 67, 88, 128, 150, 154, 175, 88, 154, 175, 67, 111, 131,…
$ TRIPS <dbl> 1, 2, 2, 1, 2, 53, 11, 3, 29, 3, 1, 1, 1, 52, 22, 9, 17…
$ FlowNoIntra <dbl> 1, 2, 2, 1, 2, 53, 11, 3, 29, 3, 1, 1, 1, 52, 22, 9, 17…
$ offset <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
$ dist <dbl> 2704.163, 3436.932, 1984.313, 2598.076, 6873.864, 7611.…Print out the first 6 rows
Visualising the O-D flows of the weekday morning peak period
Removing intra-zonal flows
We will not plot the intra-zonal flows. The code chunk below will be used to remove intra-zonal flows. It does so by removing the flows that originate and ends in the same subzone.
Rows reduced from 62,685 to 62,079.
Create a flowLine simple feature line object.
In this code chunk below, od2line() of stplanr package is used to create the desired lines.
od_data1 is aspatial while bs_count is geospatial data.
Perform a left join with od_data1 to get 'ORIGIN_DESC' and 'DESTIN_DESC' information appended into flowLine df. It will be useful for tooltip later when exploring our maps.
We will save flowLine to local disk
Reload flowLine into R.
flowLine contains 62,120 rows but we will only print out trips >= 5,000 in the datatable below.
datatable(flowLine %>%
select(-c(FlowNoIntra, offset)) %>%
filter(TRIPS>=5000),
class = 'cell-border stripe',
options = list(pageLength = 5))Visualisation and Discussion (in Tabset)
In this map, we have filtered trips less than 5000 to make it more manageable to analyse. Thicker line width represents more trips and the length of the lines represents the distance of each inter-hexagonal trip.
We observed that there are some bus routes that carry more passengers. Thick bands appeared at Woodlands Checkpoint area and Boon Lay area. Some routes from North to Eastern Singapore are also longer than usual.
In the next few tabs, we will perform further filtering on ‘TRIPS’ and ‘dist’ and plot interactive maps for us to get the trips details.
Show the code
tmap_mode('plot')
filtered_flowLine <- flowLine %>%
filter(TRIPS >= 5000)
bs_count_filtered <- bs_count %>%
filter(grid_id %in% c(filtered_flowLine$ORIGIN_GRID_ID, filtered_flowLine$DESTIN_GRID_ID))
tm_shape(mpsz) +
tm_polygons(alpha=0.3)+
#col='black') +
#tm_shape(bs_count_filtered) +
#tm_polygons(alpha=0.3) +
filtered_flowLine %>%
tm_shape() +
tm_lines(lwd = 'TRIPS',
style = 'quantile',
scale= c(1, 3, 9, 15, 21, 30),
#scale= c(0.1, 1, 3, 5, 7, 10),
n = 6,
alpha= 0.3,
col='blue') +
tm_view(set.zoom.limits = c(11,17)) +
tm_layout(main.title = 'O-D Flow On Weekday Morning Peak hour' ,
main.title.position = "center",
main.title.size = 2.0,
main.title.fontface = 'bold') +
tm_compass(type="8star", size = 2) +
tm_scale_bar()
In this interactive map, we have filtered and retained the trips >= 15,000, irregardless of the distance of the trip.
Map Tips: Click on the flowline of your interest, it will reveal the number of trips, origin bus stop descriptions and destination bus stop descriptions.
Findings:
1) The flows with the greatest volumes were located near the Woodlands Check Point area that transported commuters across the causeway.
2) Great volumes of flows were associated with destinations at bus or train stations, suggesting that passengers take bus for further transit. This gives us a hint that presence of bus interchange / train stations could be an important explanatory factors for ‘TRIPS’ in our Spatial Interaction Model later.
Show the code
tmap_mode('view')
tmap_options(check.and.fix = TRUE)
filtered_flowLine <- flowLine %>%
filter(TRIPS >= 15000)
bs_count_filtered <- bs_count %>%
filter(grid_id %in% c(filtered_flowLine$ORIGIN_GRID_ID, filtered_flowLine$DESTIN_GRID_ID))
tm_shape(mpsz) +
tm_polygons(alpha=0.7,
col='black') +
tm_shape(bs_count_filtered) +
tm_polygons(alpha=0.4) +
#tm_shape(busstop_hex_geo) +
#tm_dots(size= 0.005)+
filtered_flowLine %>%
tm_shape() +
tm_lines(lwd = 'TRIPS',
style = 'quantile',
scale= c(1, 3, 9, 15, 21, 30),
#scale= c(0.1, 1, 3, 5, 7, 10),
n = 6,
alpha= 0.5,
popup.vars=c("# Trips:"="TRIPS",
"Orig Desc:"="ORIGIN_DESC",
"Destin Desc:" = "DESTIN_DESC",
"Distance:" = 'dist'),
col='yellow') +
tm_view(set.zoom.limits = c(11,17)) +
tm_layout(main.title = 'O-D Flow On Weekday Morning Peak hour' ,
main.title.size = 1.0,
main.title.fontface = 'bold')In order to investigate the long distance bus trips with considerable amount of trips volume, we have filtered and retain TRIPS >= 5000 and distance >= 13km. We noticed that these trips tend to connect passengers between the Northern parts of Singapore (Woodlands, Khatib and Yishun for instance) and the Eastern parts of Singapore (Tampanies, Seng Kang and Punggol for instance). Taking a look at the Singapore MRT map, it would require passengers to use at least three different ‘lines’ in order for them to commute between Eastern and Northern Singapore; maybe this is why passengers prefer to take a direct bus instead.
Show the code
tmap_mode('view')
tmap_options(check.and.fix = TRUE)
filtered_flowLine <- flowLine %>%
filter(dist >= 13000,
TRIPS >= 5000)
bs_count_filtered <- bs_count %>%
filter(grid_id %in% c(filtered_flowLine$ORIGIN_GRID_ID, filtered_flowLine$DESTIN_GRID_ID))
tm_shape(mpsz) +
tm_polygons(alpha=0.7,
col='black') +
tm_shape(bs_count_filtered) +
tm_polygons(alpha=0.4) +
#tm_shape(busstop_hex_geo) +
#tm_dots(size= 0.005)+
filtered_flowLine %>%
tm_shape() +
tm_lines(lwd = 'TRIPS',
style = 'quantile',
scale= c(1, 3, 9, 15, 21, 30),
#scale= c(0.1, 1, 3, 5, 7, 10),
n = 6,
alpha= 0.5,
popup.vars=c("# Trips:"="TRIPS",
"Orig Desc:"="ORIGIN_DESC",
"Destin Desc:" = "DESTIN_DESC",
"Distance:" = 'dist'),
col='yellow') +
tm_view(set.zoom.limits = c(11,17)) +
tm_layout(main.title = 'O-D Flow On Weekday Morning Peak hour' ,
main.title.size = 1.0,
main.title.fontface = 'bold')For our curiosity of the longest bus route, we filter all trips with distances >= 23 km irregardless of trips volume.
Some passengers were willing to take bus between Changi Airport and Woodlands Checkpoint and also between Bedok and Boon Lay.
Zoom in and click on the flowlines for details on trip volume, distance and bus stop details!
Show the code
tmap_mode('view')
tmap_options(check.and.fix = TRUE)
filtered_flowLine <- flowLine %>%
filter(dist >= 23000)
bs_count_filtered <- bs_count %>%
filter(grid_id %in% c(filtered_flowLine$ORIGIN_GRID_ID, filtered_flowLine$DESTIN_GRID_ID))
tm_shape(mpsz) +
tm_polygons(alpha=0.7,
col='black') +
tm_shape(bs_count_filtered) +
tm_polygons(alpha=0.4) +
#tm_shape(busstop_hex_geo) +
#tm_dots(size= 0.005)+
filtered_flowLine %>%
tm_shape() +
tm_lines(lwd = 'TRIPS',
style = 'quantile',
scale= c(1, 3, 9, 15, 21, 30),
#scale= c(0.1, 1, 3, 5, 7, 10),
n = 6,
alpha= 0.5,
popup.vars=c("# Trips:"="TRIPS",
"Orig Desc:"="ORIGIN_DESC",
"Destin Desc:" = "DESTIN_DESC",
"Distance:" = 'dist'),
col='yellow') +
tm_view(set.zoom.limits = c(11,17)) +
tm_layout(main.title = 'O-D Flow On Weekday Morning Peak hour' ,
main.title.size = 1.0,
main.title.fontface = 'bold')Preparing Origin and Destination Attributes
Importing the attractiveness and propulsive geospatial data
Geospatial dataset 1
Train_Station_Exit_Layer shapefile downloaded from LTA data mall. It contains point coordinates of station box exits. The train station exits are potentially one of the attractiveness of destinations as bus passengers could take bus to MRT stations for transfer.
train_exit <- st_read(dsn='data/geospatial',
layer='Train_Station_Exit_Layer') %>%
st_transform(crs=3414)Reading layer `Train_Station_Exit_Layer' from data source
`C:\yixin-neo\ISSS624_AGA\Take-home_Ex2\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 565 features and 2 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6134.086 ymin: 27499.7 xmax: 45356.36 ymax: 47865.92
Projected CRS: SVY21The file contains duplicated ‘stn_name’ and ‘exit_code’ fields.
Simple feature collection with 17 features and 2 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 18072.23 ymin: 27512.2 xmax: 42314.55 ymax: 40853.37
Projected CRS: SVY21 / Singapore TM
# A tibble: 17 × 3
stn_name exit_code geometry
<chr> <chr> <POINT [m]>
1 BUKIT PANJANG MRT STATION Exit A (20054.56 40109.33)
2 CHOA CHU KANG MRT STATION Exit D (18084.87 40849.96)
3 HARBOURFRONT MRT STATION Exit A (26569.87 27614.83)
4 EXPO MRT STATION Exit A (42314.55 35278.98)
5 HARBOURFRONT MRT STATION Exit A (26797.06 27512.2)
6 CHOA CHU KANG MRT STATION Exit C (18117.61 40853.37)
7 CHOA CHU KANG MRT STATION Exit A (18121.99 40819.65)
8 BUKIT PANJANG MRT STATION Exit A (19795.81 40301.42)
9 UPPER CHANGI MRT STATION Exit A (42246.13 36002.08)
10 UPPER CHANGI MRT STATION Exit A (42205.19 36018.15)
11 BEDOK NORTH MRT STATION Exit B (37542.44 35150.99)
12 BEDOK NORTH MRT STATION Exit B (37550.39 35173.81)
13 BUKIT PANJANG MRT STATION Exit A (20066.96 40082.6)
14 CHOA CHU KANG MRT STATION Exit A (18122.31 40816.19)
15 CHOA CHU KANG MRT STATION Exit C (18112.29 40852.68)
16 CHOA CHU KANG MRT STATION Exit D (18072.23 40812.88)
17 EXPO MRT STATION Exit A (42302.73 35296.8)Remove the duplicates and check that all duplicates are removed. 556 rows remaining.
train_exit <- train_exit %>%
distinct(stn_name,
exit_code,
.keep_all = TRUE)
train_exit %>%
group_by(stn_name, exit_code) %>%
filter(n()>1) %>%
ungroup()Simple feature collection with 0 features and 2 fields
Bounding box: xmin: NA ymin: NA xmax: NA ymax: NA
Projected CRS: SVY21 / Singapore TM
# A tibble: 0 × 3
# ℹ 3 variables: stn_name <chr>, exit_code <chr>, geometry <GEOMETRY [m]>Count the number of station exits within each hexagon and then also, assign ‘grid_id’ to each train station exits points. The bs_count df is now enriched with number of mrt station exits information!
bs_count$train_exit_ct = lengths(st_intersects(bs_count,train_exit))
bs_count %>% arrange(desc(train_exit_ct)) %>% head()Simple feature collection with 6 features and 3 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 27595.12 ymin: 28647.16 xmax: 30595.12 ymax: 32111.27
Projected CRS: SVY21 / Singapore TM
grid_id num_bs train_exit_ct geometry
1 1370 7 13 POLYGON ((27970.12 31245.24...
2 1452 10 13 POLYGON ((29470.12 28647.16...
3 1473 8 12 POLYGON ((29845.12 29296.68...
4 1494 5 12 POLYGON ((30220.12 28647.16...
5 1495 10 10 POLYGON ((30220.12 29946.2,...
6 1474 16 9 POLYGON ((29845.12 30595.72...Lets take a look at the train station exits points (denoted by the black dots). The red hexagons highlights the grids with more than 10 train stations exits.
Show the code
tmap_mode('plot')
tmap_options(check.and.fix = TRUE)
tm_shape(mpsz)+
tm_polygons(alpha=0.3) +
tm_shape(bs_count[bs_count$train_exit_ct >=10,]) +
tm_polygons(alpha = 0.3,
col='red') +
tm_shape(train_exit) +
tm_dots(size=0.01) +
tm_layout(main.title = "Train exits location",
main.title.fontface = 'bold',
main.title.position = "center",
main.title.size = 2,
legend.height = 0.45,
legend.width = 0.35,
frame = TRUE) +
tm_view(set.zoom.limits = c(11,16)) +
tm_compass(type="8star", size = 2) +
tm_scale_bar()
Let us continue to import more origin and destination attributes data.
Geospatial dataset 2
We will import Pre-Schools Locations kml file from data.gov.sg. It is a POINT sf object. This variable is potentially one of the attractiveness of our destinations.
preschool = st_read('data/geospatial/pre-schools-location-kml.kml') %>%
st_transform(preschool, crs=3414)Reading layer `PRESCHOOLS_LOCATION' from data source
`C:\yixin-neo\ISSS624_AGA\Take-home_Ex2\data\geospatial\pre-schools-location-kml.kml'
using driver `KML'
Simple feature collection with 1925 features and 2 fields
Geometry type: POINT
Dimension: XYZ
Bounding box: xmin: 103.6824 ymin: 1.247759 xmax: 103.9897 ymax: 1.462134
z_range: zmin: 0 zmax: 0
Geodetic CRS: WGS 84Count the number of preschools within each hexagon and then also, assign ‘grid_id’ to each preschool. The bs_count df is now enriched with number of preschool information!
Let us take a look at the preschool locations (denoted by the black dots). The red hexagons highlights the grids with more than 10 preschools.
Show the code
tmap_mode('plot')
tmap_options(check.and.fix = TRUE)
tm_shape(mpsz)+
tm_polygons(alpha=0.3) +
tm_shape(bs_count[bs_count$preschool_ct >= 10,]) +
tm_polygons(alpha = 0.3,
col='red') +
tm_shape(preschool) +
tm_dots(size=0.01) +
tm_layout(main.title = "Preschool location",
main.title.fontface = 'bold',
main.title.position = "center",
main.title.size = 2,
legend.height = 0.45,
legend.width = 0.35,
frame = TRUE) +
tm_view(set.zoom.limits = c(11,16)) +
tm_compass(type="8star", size = 2) +
tm_scale_bar()
Geospatial dataset 3
We will import the Business shape file provided by Prof Kam. It is a POINT sf object containing information about business locations in Singapore. This variable is potentially one of the attractiveness of our destinations because passengers could take bus to work during the morning peak period.
Reading layer `Business' from data source
`C:\yixin-neo\ISSS624_AGA\Take-home_Ex2\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 6550 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3669.148 ymin: 25408.41 xmax: 47034.83 ymax: 50148.54
Projected CRS: SVY21 / Singapore TMCount the number of businesses within each hexagon and then also, assign ‘grid_id’ to each businesses. The bs_count df is now enriched with business POI!
Let us take a look at the business locations (denoted by the black dots). The red hexagons highlights the grids with more than 50 business POI.
Show the code
tmap_mode('plot')
tmap_options(check.and.fix = TRUE)
tm_shape(mpsz)+
tm_polygons(alpha=0.3) +
tm_shape(bs_count[bs_count$business_ct >= 50,]) +
tm_polygons(alpha = 0.3,
col='red') +
tm_shape(business) +
tm_dots(size=0.01) +
tm_layout(main.title = "Business location",
main.title.fontface = 'bold',
main.title.position = "center",
main.title.size = 2,
legend.height = 0.45,
legend.width = 0.35,
frame = TRUE) +
tm_view(set.zoom.limits = c(11,16)) +
tm_compass(type="8star", size = 2) +
tm_scale_bar()
Geospatial dataset 4
We will import the FinServ shape file provided by Prof Kam. It is a POINT sf object containing information about financial service locations (Banks / Money Changers) in Singapore. This variable is potentially one of the attractiveness of our destinations because passengers could take bus to work during the morning peak period.
Reading layer `FinServ' from data source
`C:\yixin-neo\ISSS624_AGA\Take-home_Ex2\data\geospatial' using driver `ESRI Shapefile'
Simple feature collection with 3320 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 4881.527 ymin: 25171.88 xmax: 46526.16 ymax: 49338.02
Projected CRS: SVY21 / Singapore TMCount the number of financial service points within each hexagon and then also, assign ‘grid_id’ to each financial service points. The bs_count df is now enriched with financial services information!
Let us take a look at the financial services locations (denoted by the black dots). The red hexagons highlights the grids with more than 50 financial services points.
Show the code
tmap_mode('plot')
tmap_options(check.and.fix = TRUE)
tm_shape(mpsz)+
tm_polygons(alpha=0.3) +
tm_shape(bs_count[bs_count$finserv_ct >= 50,]) +
tm_polygons(alpha = 0.3,
col='red') +
tm_shape(finserv) +
tm_dots(size=0.01) +
tm_layout(main.title = "Financial Service location",
main.title.fontface = 'bold',
main.title.position = "center",
main.title.size = 2,
legend.height = 0.45,
legend.width = 0.35,
frame = TRUE) +
tm_view(set.zoom.limits = c(11,16)) +
tm_compass(type="8star", size = 2) +
tm_scale_bar()
Importing the attractiveness and propulsive aspatial data
Aspatial dataset 1
Let us import the Schools general information in csv format , downloaded from School Directory and Information from data.gov.sg. It contains location (implicitly in the form of the field ‘POSTAL_CODE’) of the MOE kindergartens, Primary Schools , Secondary Schools and junior colleges. It does not contain ITEs , Polytechnics and Universities locations. There is a total of 346 records inside this csv file.
| school_name | url_address | address | postal_code | telephone_no | telephone_no_2 | fax_no | fax_no_2 | email_address | mrt_desc | bus_desc | principal_name | first_vp_name | second_vp_name | third_vp_name | fourth_vp_name | fifth_vp_name | sixth_vp_name | dgp_code | zone_code | type_code | nature_code | session_code | mainlevel_code | sap_ind | autonomous_ind | gifted_ind | ip_ind | mothertongue1_code | mothertongue2_code | mothertongue3_code |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ADMIRALTY PRIMARY SCHOOL | https://admiraltypri.moe.edu.sg/ | 11 WOODLANDS CIRCLE | 738907 | 63620598 | na | 63627512 | na | ADMIRALTY_PS@MOE.EDU.SG | Admiralty Station | TIBS 965, 964, 913 | MR PEK WEE HAUR | MDM CHUA MUI LING | MDM NUR SABARIAH BTE MOHD IBRAHIM | NULL | NULL | NULL | NULL | WOODLANDS | NORTH | GOVERNMENT SCHOOL | CO-ED SCHOOL | FULL DAY | PRIMARY | No | No | No | No | Chinese | Malay | Tamil |
| ADMIRALTY SECONDARY SCHOOL | http://www.admiraltysec.moe.edu.sg | 31 WOODLANDS CRESCENT | 737916 | 63651733 | 63654596 | 63652774 | na | Admiralty_SS@moe.edu.sg | ADMIRALTY MRT | 904 | MR LAM YUI- P’NG | MR NG SONG LIM STEVEN | MR SHEIK ALAUDIN B MOHD ISMAIL | NULL | NULL | NULL | NULL | WOODLANDS | NORTH | GOVERNMENT SCHOOL | CO-ED SCHOOL | SINGLE SESSION | SECONDARY | No | No | No | No | Chinese | Malay | Tamil |
| AHMAD IBRAHIM PRIMARY SCHOOL | http://www.ahmadibrahimpri.moe.edu.sg | 10 YISHUN STREET 11 | 768643 | 67592906 | na | 67592927 | na | aips@moe.edu.sg | Yishun | Yishun Ring Road - 812 (white plate); Yishun Ave 2 - 169, 804, 965, 117, 883 | MISS ONG LEE CHOO | MADAM SULASNI BINTE ABDUL RAHMAN | NULL | NULL | NULL | NULL | NULL | YISHUN | NORTH | GOVERNMENT SCHOOL | CO-ED SCHOOL | SINGLE SESSION | PRIMARY | No | No | No | No | Chinese | Malay | Tamil |
| AHMAD IBRAHIM SECONDARY SCHOOL | http://www.ahmadibrahimsec.moe.edu.sg | 751 YISHUN AVENUE 7 | 768928 | 67585384 | na | 67557778 | na | aiss@moe.edu.sg | CANBERRA MRT, YISHUN MRT | 117, 167, 169, 800, 811, 812, 883, 856, 858, 859, 965, 969, 980 | MISS TAN KE XIN | MR YAO ZHIXUAN TERENCE | MISS LEA SHU HUI | NULL | NULL | NULL | NULL | YISHUN | NORTH | GOVERNMENT SCHOOL | CO-ED SCHOOL | SINGLE SESSION | SECONDARY | No | No | No | No | Chinese | Malay | Tamil |
| AI TONG SCHOOL | http://www.aitong.moe.edu.sg | 100 Bright Hill Drive | 579646 | 64547672 | na | 64532726 | na | AITONG_SCH@MOE.EDU.SG | Bishan MRT | 410, 162, 52 | MDM GOH LING LING DIANE | MDM NG BEE ENG, CINDY | MR YAK BENG WEI | NULL | NULL | NULL | NULL | BISHAN | SOUTH | GOVERNMENT-AIDED SCH | CO-ED SCHOOL | SINGLE SESSION | PRIMARY | Yes | No | No | No | Chinese | na | na |
| ALEXANDRA PRIMARY SCHOOL | http://alexandrapri.moe.edu.sg | 2A Prince Charles Crescent | 159016 | 62485400 | na | 62485409 | na | alexandra_ps@moe.edu.sg | Redhill Station Tiong Bahru Station | 51, 122, 139, 186, 970. | MDM TEO CHING LING | MDM NORAINI BTE MANSOOR | NULL | NULL | NULL | NULL | NULL | BUKIT MERAH | SOUTH | GOVERNMENT SCHOOL | CO-ED SCHOOL | SINGLE SESSION | PRIMARY | No | No | No | No | Chinese | Malay | Tamil |
Next, we will load poly_ite_postal csv file that is collated by myself. It contains the postal codes of the 5 polytechnics and the 3 ITE colleges in Singapore.
| school_name | postal_code |
|---|---|
| Singapore Polytechnic | 139651 |
| Republic Polytechnic | 738964 |
| Nanyang Polytechnic | 569830 |
| Temasek Polytechnic | 529757 |
| Ngee Ann Polytechnic | 599489 |
| ITE Central | 567720 |
| ITE Colleage East | 486047 |
| ITE College West | 688236 |
Since there are only 8 records of ITEs and Polys, I have manually added these 8 records into the original Generalinformationofschools.csv above and rename it as allsch.csv
Reload the allsch.csv, which contains 354 records in total.
Geocoding the schools location
We will use the OneMap API to retrieve the longitude (X) and latitude (Y) coordinates using the ‘POSTAL_CODE’ field. First load the httr package which works in a TIDY manner.
OneMap API is owned by SLA. The API documentation is found here.
The code chunk below does the following:
- Initiate two empty dataframes;
foundto contain the results of the postal codes that are successful geocoded andnot_foundto contain the postal codes that are not successfully geocoded. - Uses a loop to use the OneMap API for
schandterdf.
found <- data.frame()
not_found <- data.frame()
for(postcode in postcodes) {
query <- list('searchVal' = postcode, 'returnGeom' = 'Y', 'getAddrDetails' = 'Y', 'pageNum' = '1')
res <- GET(url, query=query)
if((content(res)$found)!=0){
found<-rbind(found, data.frame(content(res))[4:13])
} else{
not_found = data.frame(postcode)
}
}Out of the 354 records in allsch, 1 school (Zhenghua Secondary School) is unsuccessfully geocoded.
Let us merge the output of geocoding with the original allsch.csv file.
Write merged into a csv file and manually add the longitude and latitude (1.3887, 103.7652 ) of Zhenghua Secondary into the csv file.
After manual edit, reload the schools_geocoded.csv file in R.
Convert sch to sf point object with longitude and latitude
Convert to SVY21 Singapore Projected Coordinates System after converting to sf object.
Count the number of schools in each hexagon and assign each school to a grid_id.
bs_count$sch_ct = lengths(st_intersects(bs_count,sch_sf))
bs_count %>% arrange(desc(sch_ct)) %>% head()Simple feature collection with 6 features and 7 fields
Geometry type: POLYGON
Dimension: XY
Bounding box: xmin: 15220.12 ymin: 31894.76 xmax: 37720.12 ymax: 42503.57
Projected CRS: SVY21 / Singapore TM
grid_id num_bs train_exit_ct preschool_ct business_ct finserv_ct sch_ct
1 873 1 0 2 0 0 4
2 1350 4 1 2 0 1 4
3 1895 11 0 1 0 1 4
4 680 9 3 2 0 5 3
5 786 11 0 3 0 1 3
6 832 11 4 10 0 12 3
geometry
1 POLYGON ((18970.12 40338.51...
2 POLYGON ((27595.12 33193.8,...
3 POLYGON ((37345.12 31894.76...
4 POLYGON ((15595.12 35791.87...
5 POLYGON ((17470.12 36441.39...
6 POLYGON ((18220.12 41637.55...Let us take a look at the map. The highest count of schools in a hexagon is 4.
Show the code
tmap_mode('plot')
tmap_options(check.and.fix = TRUE)
tm_shape(mpsz)+
tm_polygons(alpha=0.3) +
tm_shape(bs_count[bs_count$sch_ct>=4,]) +
tm_polygons(alpha = 0.3,
col = 'red') +
tm_shape(sch_sf) +
tm_dots() +
tm_layout(main.title = "Schools location",
main.title.fontface = 'bold',
main.title.position = "center",
main.title.size = 2,
legend.height = 0.45,
legend.width = 0.35,
frame = TRUE) +
tm_view(set.zoom.limits = c(11,16)) +
tm_compass(type="8star", size = 2) +
tm_scale_bar()
Aspatial dataset 2
We will now import the hdb.csv file provided by Prof Kam. The original source file is named HDB Property Information downloaded from this link, but it contains no postal code or coordinates. it contains data from Jan 1937 - Jun 2023.
The hdb.csv used in this exercise has been geocoded by Prof Kam. It contains information postal code and longitude/ latitude coordinates.
We will not be using commercial HDB property, therefore we will remove non-residential rows. The number of rows reduced from 12,442 to to 10,181.
The fields ‘total_rental_ct’ refers to the estimated number of people who stay in rented apartments, ‘total_nroom_ct’ refers to the estimated number of people staying in n-room apartment and ‘total_owner_ct’ refers to the estimated number of residents who stay in HDB property.
The reason for retaining the details of n-room count is because it is a potential proxy for income level. The multipliers for each room type (eg. 1 for 1 room, 2 for 2 rooms, 10 for 3 rooms for instance) is estimated using the HDBResidentPopulationAged15YearsandAbovebyFlatType.csv retrieved from data.gov. The bar chart below will show how the multipliers were estimated.
Show the code
ggplot(res_est, aes(x = flat_type, y = number)) +
geom_bar(stat = "identity") +
geom_text(aes(label = paste0(number,', ', round(number/sum(number)*100,1), '%')),
position = position_dodge(width = 0.8), vjust= -1, size = 3.5) +
labs(title = "Number of residents by Flat Types",
x = "Flat Type",
y = "Number") +
theme(plot.title = element_text(face="bold"))
hdb <- read_csv('data/aspatial/hdb.csv') %>%
filter(residential == "Y") %>%
mutate(total_rental_ct = `1room_rental`*1 + `2room_rental`*2 + `3room_rental`*3 + `other_room_rental`*4,
total_1room_ct = `1room_sold`,
total_2room_ct = `2room_sold`*2,
total_3room_ct = `3room_sold`*10,
total_4room_ct = `4room_sold`*21,
total_5room_ct = `5room_sold`*13,
total_exec_ct = `exec_sold`*4,
total_multi_ct = `multigen_sold`*13,
total_studio_ct = `studio_apartment_sold`,
total_owner_ct = `1room_sold`*1 + `2room_sold`*2 + `3room_sold`*10 + `4room_sold`*21 + `5room_sold`*13 + `exec_sold`*4 + `multigen_sold`*13 + `studio_apartment_sold`*1) %>%
select(blk_no, street, total_rental_ct, total_1room_ct, total_1room_ct,total_2room_ct,total_3room_ct,total_4room_ct,total_5room_ct,total_exec_ct,total_multi_ct, total_studio_ct,total_owner_ct, lat, lng)Let us take a look at the first six rows of hdb df.
| blk_no | street | total_rental_ct | total_1room_ct | total_2room_ct | total_3room_ct | total_4room_ct | total_5room_ct | total_exec_ct | total_multi_ct | total_studio_ct | total_owner_ct | lat | lng |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | BEACH RD | 0 | 0 | 2 | 1380 | 21 | 26 | 0 | 0 | 0 | 1429 | 1.295097 | 103.8541 |
| 1 | BEDOK STH AVE 1 | 0 | 0 | 0 | 2040 | 0 | 26 | 0 | 0 | 0 | 2066 | 1.320852 | 103.9337 |
| 1 | CHAI CHEE RD | 0 | 0 | 0 | 0 | 210 | 1196 | 0 | 0 | 0 | 1406 | 1.327969 | 103.9227 |
| 1 | CHANGI VILLAGE RD | 0 | 0 | 0 | 540 | 0 | 13 | 0 | 0 | 0 | 553 | 1.388610 | 103.9881 |
| 1 | DELTA AVE | 0 | 0 | 0 | 0 | 0 | 1248 | 0 | 0 | 0 | 1248 | 1.292075 | 103.8286 |
| 1 | DOVER RD | 0 | 0 | 0 | 1180 | 0 | 91 | 0 | 0 | 0 | 1271 | 1.302530 | 103.7833 |
Tranform hdb to a simply feature POINT object using st_as_sf function and transform from WSG84 to SVY21 Singapore Projected Coordinate System using st_transform() of sf package.
Simple feature collection with 10181 features and 12 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 11519.15 ymin: 28097.64 xmax: 45224.46 ymax: 48741.06
Projected CRS: SVY21 / Singapore TM
# A tibble: 10,181 × 13
blk_no street total_rental_ct total_1room_ct total_2room_ct total_3room_ct
* <chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 1 BEACH RD 0 0 2 1380
2 1 BEDOK ST… 0 0 0 2040
3 1 CHAI CHE… 0 0 0 0
4 1 CHANGI V… 0 0 0 540
5 1 DELTA AVE 0 0 0 0
6 1 DOVER RD 0 0 0 1180
7 1 EUNOS CR… 494 0 0 0
8 1 EVERTON … 0 0 0 620
9 1 GHIM MOH… 0 0 0 2160
10 1 HAIG RD 0 0 0 2140
# ℹ 10,171 more rows
# ℹ 7 more variables: total_4room_ct <dbl>, total_5room_ct <dbl>,
# total_exec_ct <dbl>, total_multi_ct <dbl>, total_studio_ct <dbl>,
# total_owner_ct <dbl>, geometry <POINT [m]>Assign a ‘grid_id’ to each observation inside the hdb_sf POINT sf object by using the st_intersection() function.
Before: hdb_sf contains 10,181 rows
After: st_intersection(): hdb_hex contains 10,133 rows. Some points in hdb_sf do not fall within bs_count basic hexagon units. This is expected as bs_count that does not have hexagons with zero bus stop counts.
Drop the geometry column, and check for duplicates.
# A tibble: 0 × 19
# ℹ 19 variables: blk_no <chr>, street <chr>, total_rental_ct <dbl>,
# total_1room_ct <dbl>, total_2room_ct <dbl>, total_3room_ct <dbl>,
# total_4room_ct <dbl>, total_5room_ct <dbl>, total_exec_ct <dbl>,
# total_multi_ct <dbl>, total_studio_ct <dbl>, total_owner_ct <dbl>,
# grid_id <int>, num_bs <int>, train_exit_ct <int>, preschool_ct <int>,
# business_ct <int>, finserv_ct <int>, sch_ct <int>For each ‘grid_id’, sum the ‘total_rental_ct’ and ‘total_owners_ct’. After group_by, the number of rows reduced from 10,133 to 392 unique ‘grid_id’
hdb_hex <- hdb_hex %>%
group_by(grid_id) %>%
summarise(hdb_rental_ct = sum(total_rental_ct),
hdb_1room_ct = sum(total_1room_ct),
hdb_2room_ct = sum(total_2room_ct),
hdb_3room_ct = sum(total_3room_ct),
hdb_4room_ct = sum(total_4room_ct),
hdb_5room_ct = sum(total_5room_ct),
hdb_exec_ct = sum(total_exec_ct),
hdb_multi_ct = sum(total_multi_ct),
hdb_studio_ct = sum(total_studio_ct),
hdb_owner_ct = sum (total_owner_ct)) %>%
ungroup()Append the HDB rental and owner counts to the bs_count df by performing a left join
bs_count <- left_join(bs_count, hdb_hex,
by= c('grid_id' = 'grid_id'))
bs_count<- bs_count %>%
mutate(hdb_rental_ct = replace_na(hdb_rental_ct, 0),
hdb_1room_ct = replace_na(hdb_1room_ct, 0),
hdb_2room_ct = replace_na(hdb_2room_ct, 0),
hdb_3room_ct = replace_na(hdb_3room_ct, 0),
hdb_4room_ct = replace_na(hdb_4room_ct, 0),
hdb_5room_ct = replace_na(hdb_5room_ct, 0),
hdb_exec_ct = replace_na(hdb_exec_ct, 0),
hdb_multi_ct = replace_na(hdb_multi_ct, 0),
hdb_studio_ct = replace_na(hdb_studio_ct, 0),
hdb_owner_ct = replace_na(hdb_owner_ct, 0))Let us visualise the estimated population density of Singapore residents who stays in HDB property.
Show the code
tmap_mode('plot')
tmap_options(check.and.fix = TRUE)
tm_shape(mpsz)+
tm_polygons(alpha=0.3) +
tm_shape(bs_count) +
tm_fill('hdb_owner_ct',
alpha= 0.7) +
tm_borders(col='grey') +
tm_layout(main.title = "Population density of HDB residents 2023 by Hexagon",
main.title.fontface = 'bold',
main.title.position = "center",
main.title.size = 2,
legend.height = 0.55,
legend.width = 0.45,
frame = TRUE) +
tm_compass(type="8star", size = 2) +
tm_scale_bar()
This rough estimation of the population density of residents staying in HDB (until June 2023) is acceptable because according to Singapore Census of Population 2020, the top four planning areas with more than 250,000 residents are Bedok, Jurong West, Tampanies and Woodlands. (see chart below). The level of intensity of the map above looks similar to the intensity of the map below, with the exception of the North_east area. The North-East region with planning areas like Punggol and Seng Kang are newer estates that are probably not captured in 2020 census.
Append all attributes to flow_data1 df
We will perform left_join() twice to get the origin and destination attributes properly appended into the flow_data1 df (currently contains only response variable ‘TRIPS’ and one explanatory variable ‘dist’) .
First, convert ‘grid_id’ in sz_count to factor format.
flow_data1 <- flow_data1 %>%
left_join(bs_count,
by = c('ORIGIN_GRID_ID' = 'grid_id')) %>%
rename(ORIGIN_TRAIN_EXIT_CT=train_exit_ct,
ORIGIN_PRESCHOOL_CT=preschool_ct,
ORIGIN_BUSINESS_CT=business_ct,
ORIGIN_FINSERV_CT=finserv_ct,
ORIGIN_SCH_CT=sch_ct,
ORIGIN_RENTAL_CT=hdb_rental_ct,
ORIGIN_1ROOM_CT=hdb_1room_ct,
ORIGIN_2ROOM_CT=hdb_2room_ct,
ORIGIN_3ROOM_CT=hdb_3room_ct,
ORIGIN_4ROOM_CT=hdb_4room_ct,
ORIGIN_5ROOM_CT=hdb_5room_ct,
ORIGIN_EXEC_CT=hdb_exec_ct,
ORIGIN_MULTI_CT=hdb_multi_ct,
ORIGIN_STUDIO_CT=hdb_studio_ct,
ORIGIN_OWNER_CT=hdb_owner_ct) %>%
select(-c(num_bs,geometry))flow_data1 <- flow_data1 %>%
left_join(bs_count,
by = c('DESTIN_GRID_ID' = 'grid_id')) %>%
rename(DESTIN_TRAIN_EXIT_CT=train_exit_ct,
DESTIN_PRESCHOOL_CT=preschool_ct,
DESTIN_BUSINESS_CT=business_ct,
DESTIN_FINSERV_CT=finserv_ct,
DESTIN_SCH_CT=sch_ct,
DESTIN_RENTAL_CT=hdb_rental_ct,
DESTIN_1ROOM_CT=hdb_1room_ct,
DESTIN_2ROOM_CT=hdb_2room_ct,
DESTIN_3ROOM_CT=hdb_3room_ct,
DESTIN_4ROOM_CT=hdb_4room_ct,
DESTIN_5ROOM_CT=hdb_5room_ct,
DESTIN_EXEC_CT=hdb_exec_ct,
DESTIN_MULTI_CT=hdb_multi_ct,
DESTIN_STUDIO_CT=hdb_studio_ct,
DESTIN_OWNER_CT=hdb_owner_ct) %>%
select(-c(num_bs, geometry))Write flow_data1 into local disk.
Read the flow_data1 back into R
Calibrating Spatial Interaction Models
Basic data exploration of flow_data1 df.
‘TRIPS’ are all positive values, its distribution is highly skewed to the right.
These two variables are not linearly related, suggesting that we could apply data transformation on them.
The first choice of our regression model is the Poisson Regression in glm() function.
Why Poisson regression?
our target variable (TRIPS) is count-based
target variable can only be positive values (unlike Linear regression where positive and negative values are possible; negative TRIPS do not make sense)
a type of generalised linear model (GLM) used to count data
residuals may follow a asymmetric distribution around the mean (meaning outcomes on either sides of the mean are NOT equally likely.)
It means that the probability of commuting is not described by a continuous (normal) probability distribution, but a discrete probability distribution such as the Poisson distribution
It would also mean that we do not have to adhere to the assumptions of the Linear Regression Model:
dependent variable and predictors have linear relationship
residual errors (predicted - actual) are normally distributed, have a constant variance and unrelated with one another.
Check independent variables for zero values
Since we have chosen the Poisson regression, which is based on log and log 0 is undefined, it is important for us to ensure that are no 0 values in the explanatory variables.
In the code chunk below, summary() of Base R is used to compute the summary statistics of all variables in flow_data1 data frame.
ORIGIN_GRID_ID DESTIN_GRID_ID TRIPS FlowNoIntra offset
1960 : 290 1474 : 344 Min. : 1 Min. : 1 Min. :1
1477 : 288 1452 : 331 1st Qu.: 7 1st Qu.: 7 1st Qu.:1
1474 : 277 1516 : 314 Median : 34 Median : 34 Median :1
1496 : 272 1960 : 289 Mean : 327 Mean : 327 Mean :1
1623 : 267 1477 : 288 3rd Qu.: 156 3rd Qu.: 156 3rd Qu.:1
1480 : 266 1494 : 283 Max. :75374 Max. :75374 Max. :1
(Other):60460 (Other):60271
dist ORIGIN_TRAIN_EXIT_CT ORIGIN_PRESCHOOL_CT ORIGIN_BUSINESS_CT
Min. : 750 Min. : 0.000 Min. : 0.000 Min. : 0.000
1st Qu.: 2704 1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.: 0.000
Median : 5250 Median : 0.000 Median : 3.000 Median : 1.000
Mean : 6233 Mean : 1.234 Mean : 3.362 Mean : 6.367
3rd Qu.: 8649 3rd Qu.: 2.000 3rd Qu.: 5.000 3rd Qu.: 6.000
Max. :24784 Max. :13.000 Max. :18.000 Max. :97.000
ORIGIN_FINSERV_CT ORIGIN_SCH_CT ORIGIN_RENTAL_CT ORIGIN_1ROOM_CT
Min. : 0.000 Min. :0.0000 Min. : 0.0 Min. : 0.0000
1st Qu.: 1.000 1st Qu.:0.0000 1st Qu.: 0.0 1st Qu.: 0.0000
Median : 3.000 Median :0.0000 Median : 0.0 Median : 0.0000
Mean : 7.147 Mean :0.5765 Mean : 197.5 Mean : 0.3571
3rd Qu.: 8.000 3rd Qu.:1.0000 3rd Qu.: 24.0 3rd Qu.: 0.0000
Max. :130.000 Max. :4.0000 Max. :2893.0 Max. :255.0000
ORIGIN_2ROOM_CT ORIGIN_3ROOM_CT ORIGIN_4ROOM_CT ORIGIN_5ROOM_CT
Min. : 0.00 Min. : 0 Min. : 0 Min. : 0
1st Qu.: 0.00 1st Qu.: 0 1st Qu.: 0 1st Qu.: 0
Median : 0.00 Median : 1030 Median : 6048 Median : 2119
Mean : 78.29 Mean : 4883 Mean :15138 Mean : 5136
3rd Qu.: 44.00 3rd Qu.: 6700 3rd Qu.:25683 3rd Qu.: 7605
Max. :4164.00 Max. :40960 Max. :99162 Max. :61945
ORIGIN_EXEC_CT ORIGIN_MULTI_CT ORIGIN_STUDIO_CT ORIGIN_OWNER_CT
Min. : 0.0 Min. : 0.000 Min. : 0.00 Min. : 0
1st Qu.: 0.0 1st Qu.: 0.000 1st Qu.: 0.00 1st Qu.: 0
Median : 0.0 Median : 0.000 Median : 0.00 Median : 12883
Mean : 424.9 Mean : 6.994 Mean : 14.59 Mean : 25682
3rd Qu.: 448.0 3rd Qu.: 0.000 3rd Qu.: 0.00 3rd Qu.: 46830
Max. :6776.0 Max. :1976.000 Max. :252.00 Max. :130585
DESTIN_TRAIN_EXIT_CT DESTIN_PRESCHOOL_CT DESTIN_BUSINESS_CT DESTIN_FINSERV_CT
Min. : 0.000 Min. : 0.000 Min. : 0.000 Min. : 0.00
1st Qu.: 0.000 1st Qu.: 1.000 1st Qu.: 0.000 1st Qu.: 1.00
Median : 0.000 Median : 3.000 Median : 1.000 Median : 3.00
Mean : 1.348 Mean : 3.208 Mean : 7.368 Mean : 7.93
3rd Qu.: 2.000 3rd Qu.: 5.000 3rd Qu.: 6.000 3rd Qu.: 9.00
Max. :13.000 Max. :18.000 Max. :97.000 Max. :130.00
DESTIN_SCH_CT DESTIN_RENTAL_CT DESTIN_1ROOM_CT DESTIN_2ROOM_CT
Min. :0.0000 Min. : 0.0 Min. : 0.0000 Min. : 0.00
1st Qu.:0.0000 1st Qu.: 0.0 1st Qu.: 0.0000 1st Qu.: 0.00
Median :0.0000 Median : 0.0 Median : 0.0000 Median : 0.00
Mean :0.5383 Mean : 188.9 Mean : 0.3941 Mean : 71.92
3rd Qu.:1.0000 3rd Qu.: 15.0 3rd Qu.: 0.0000 3rd Qu.: 16.00
Max. :4.0000 Max. :2893.0 Max. :255.0000 Max. :4164.00
DESTIN_3ROOM_CT DESTIN_4ROOM_CT DESTIN_5ROOM_CT DESTIN_EXEC_CT
Min. : 0 Min. : 0 Min. : 0 Min. : 0.0
1st Qu.: 0 1st Qu.: 0 1st Qu.: 0 1st Qu.: 0.0
Median : 660 Median : 4599 Median : 1092 Median : 0.0
Mean : 4558 Mean :13814 Mean : 4634 Mean : 374.6
3rd Qu.: 6170 3rd Qu.:23961 3rd Qu.: 6877 3rd Qu.: 288.0
Max. :40960 Max. :99162 Max. :61945 Max. :6776.0
DESTIN_MULTI_CT DESTIN_STUDIO_CT DESTIN_OWNER_CT
Min. : 0.00 Min. : 0.00 Min. : 0
1st Qu.: 0.00 1st Qu.: 0.00 1st Qu.: 0
Median : 0.00 Median : 0.00 Median : 9446
Mean : 6.82 Mean : 13.24 Mean : 23473
3rd Qu.: 0.00 3rd Qu.: 0.00 3rd Qu.: 42903
Max. :1976.00 Max. :252.00 Max. :130585
The print report above reveals that variables all consist of 0 values.
In view of this, code chunk below will be used to use a loop to replace zero values to 0.99 (randomly chosen value that is close to 0). The names of the fields to be transformed will be stored in ‘columns_to_transform’ variable.
columns_to_transform <- c(
"ORIGIN_TRAIN_EXIT_CT", "ORIGIN_PRESCHOOL_CT", "ORIGIN_BUSINESS_CT", "ORIGIN_FINSERV_CT", "ORIGIN_SCH_CT", "ORIGIN_RENTAL_CT", "ORIGIN_1ROOM_CT", "ORIGIN_2ROOM_CT", "ORIGIN_3ROOM_CT", "ORIGIN_4ROOM_CT", "ORIGIN_5ROOM_CT", "ORIGIN_EXEC_CT", "ORIGIN_MULTI_CT", "ORIGIN_STUDIO_CT", "ORIGIN_OWNER_CT", "DESTIN_TRAIN_EXIT_CT", "DESTIN_PRESCHOOL_CT", "DESTIN_BUSINESS_CT", "DESTIN_FINSERV_CT", "DESTIN_SCH_CT", "DESTIN_RENTAL_CT", "DESTIN_1ROOM_CT", "DESTIN_2ROOM_CT", "DESTIN_3ROOM_CT",
"DESTIN_4ROOM_CT", "DESTIN_5ROOM_CT", "DESTIN_EXEC_CT", "DESTIN_MULTI_CT", "DESTIN_STUDIO_CT", "DESTIN_OWNER_CT"
)
for (col in columns_to_transform) {
flow_data1[[col]] <- ifelse(flow_data1[[col]] == 0, 0.99, flow_data1[[col]])
}The four SIMs
For modelling the weekday morning peak passenger flow , we have the following attractive and propulsive variables:
Propulsive: ‘ORIGIN_RENTAL_CT’, ‘ORIGIN_nROOM_CT’, ‘ORIGIN_OWNER_CT’
Attractive: ‘DESTIN_TRAIN_EXIT_CT’, ‘DESTIN_PRESCHOOL_CT’, ‘DESTIN_BUSINESS_CT’, ‘DESTIN_FINSERV_CT’, ‘DESTIN_SCH_CT’
uncSIM <- glm(formula = TRIPS ~
#log(ORIGIN_TRAIN_EXIT_CT) +
#log(ORIGIN_PRESCHOOL_CT) +
#log(ORIGIN_BUSINESS_CT) +
#log(ORIGIN_FINSERV_CT) +
#log(ORIGIN_SCH_CT) +
log(ORIGIN_RENTAL_CT) +
#log(ORIGIN_1ROOM_CT) +
log(ORIGIN_2ROOM_CT) +
log(ORIGIN_3ROOM_CT) +
log(ORIGIN_4ROOM_CT) +
log(ORIGIN_5ROOM_CT) +
log(ORIGIN_EXEC_CT) +
#log(ORIGIN_MULTI_CT) +
log(ORIGIN_STUDIO_CT) +
#log(ORIGIN_OWNER_CT) +
log(DESTIN_TRAIN_EXIT_CT) +
log(DESTIN_PRESCHOOL_CT) +
log(DESTIN_BUSINESS_CT) +
log(DESTIN_FINSERV_CT) +
log(DESTIN_SCH_CT) +
#log(DESTIN_RENTAL_CT) +
#log(DESTIN_1ROOM_CT) +
#log(DESTIN_2ROOM_CT) +
#log(DESTIN_3ROOM_CT) +
#log(DESTIN_4ROOM_CT) +
#log(DESTIN_5ROOM_CT) +
#log(DESTIN_EXEC_CT) +
#log(DESTIN_MULTI_CT) +
#log(DESTIN_STUDIO_CT) +
#log(DESTIN_OWNER_CT) +
log(dist),
family = poisson(link = "log"),
data = flow_data1,
na.action = na.exclude)orcSIM <- glm(formula= TRIPS ~
ORIGIN_GRID_ID +
log(DESTIN_TRAIN_EXIT_CT) +
log(DESTIN_PRESCHOOL_CT) +
log(DESTIN_BUSINESS_CT) +
log(DESTIN_FINSERV_CT) +
log(DESTIN_SCH_CT) +
#log(DESTIN_RENTAL_CT) +
#log(DESTIN_1ROOM_CT) +
#log(DESTIN_2ROOM_CT) +
#log(DESTIN_3ROOM_CT) +
#log(DESTIN_4ROOM_CT) +
#log(DESTIN_5ROOM_CT) +
#log(DESTIN_EXEC_CT) +
#log(DESTIN_MULTI_CT) +
#log(DESTIN_STUDIO_CT) +
#log(DESTIN_OWNER_CT) +
log(dist)-1,
family = poisson(link='log'),
data = flow_data1,
na.action = na.exclude)decSIM <- glm(formula= TRIPS ~
DESTIN_GRID_ID +
#log(ORIGIN_TRAIN_EXIT_CT) +
#log(ORIGIN_PRESCHOOL_CT) +
#log(ORIGIN_BUSINESS_CT) +
#log(ORIGIN_FINSERV_CT) +
#log(ORIGIN_SCH_CT) +
log(ORIGIN_RENTAL_CT) +
#log(ORIGIN_1ROOM_CT) +
log(ORIGIN_2ROOM_CT) +
log(ORIGIN_3ROOM_CT) +
log(ORIGIN_4ROOM_CT) +
log(ORIGIN_5ROOM_CT) +
log(ORIGIN_EXEC_CT) +
#log(ORIGIN_MULTI_CT) +
log(ORIGIN_STUDIO_CT) +
#log(ORIGIN_OWNER_CT) +
log(dist)-1,
family = poisson(link='log'),
data = flow_data1,
na.action = na.exclude)We will save the output of the four SIMs into rds.
Now reload them into R
Results of SIMs
Unconstrained SIM output
The R-squared value of 0.24 tells us that the explanatory variables are able to explain 24% of the variance in the TRIPS target variable.
All the coefficients are statistically significant (refer to next tab). The most influential explanatory variables are distance, destination train exit count and destination school count with coefficients of -1.43, 0.45 and 0.29 respectively.
(Intercept) log(ORIGIN_RENTAL_CT) log(ORIGIN_2ROOM_CT)
15.626793956 0.002092952 0.011054065
log(ORIGIN_3ROOM_CT) log(ORIGIN_4ROOM_CT) log(ORIGIN_5ROOM_CT)
0.003207920 0.022356966 0.091874317
log(ORIGIN_EXEC_CT) log(ORIGIN_STUDIO_CT) log(DESTIN_TRAIN_EXIT_CT)
0.072998692 0.010426315 0.446697044
log(DESTIN_PRESCHOOL_CT) log(DESTIN_BUSINESS_CT) log(DESTIN_FINSERV_CT)
0.053792693 0.024167573 0.147691697
log(DESTIN_SCH_CT) log(dist)
0.288495127 -1.426134616
Call:
glm(formula = TRIPS ~ log(ORIGIN_RENTAL_CT) + log(ORIGIN_2ROOM_CT) +
log(ORIGIN_3ROOM_CT) + log(ORIGIN_4ROOM_CT) + log(ORIGIN_5ROOM_CT) +
log(ORIGIN_EXEC_CT) + log(ORIGIN_STUDIO_CT) + log(DESTIN_TRAIN_EXIT_CT) +
log(DESTIN_PRESCHOOL_CT) + log(DESTIN_BUSINESS_CT) + log(DESTIN_FINSERV_CT) +
log(DESTIN_SCH_CT) + log(dist), family = poisson(link = "log"),
data = flow_data1, na.action = na.exclude)
Deviance Residuals:
Min 1Q Median 3Q Max
-141.78 -13.67 -7.09 -0.93 854.41
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 1.563e+01 2.172e-03 7196.26 <2e-16 ***
log(ORIGIN_RENTAL_CT) 2.093e-03 9.151e-05 22.87 <2e-16 ***
log(ORIGIN_2ROOM_CT) 1.105e-02 1.151e-04 96.08 <2e-16 ***
log(ORIGIN_3ROOM_CT) 3.208e-03 8.886e-05 36.10 <2e-16 ***
log(ORIGIN_4ROOM_CT) 2.236e-02 1.793e-04 124.67 <2e-16 ***
log(ORIGIN_5ROOM_CT) 9.187e-02 1.844e-04 498.35 <2e-16 ***
log(ORIGIN_EXEC_CT) 7.300e-02 9.258e-05 788.53 <2e-16 ***
log(ORIGIN_STUDIO_CT) 1.043e-02 1.409e-04 73.99 <2e-16 ***
log(DESTIN_TRAIN_EXIT_CT) 4.467e-01 4.136e-04 1079.94 <2e-16 ***
log(DESTIN_PRESCHOOL_CT) 5.379e-02 3.344e-04 160.84 <2e-16 ***
log(DESTIN_BUSINESS_CT) 2.417e-02 1.895e-04 127.52 <2e-16 ***
log(DESTIN_FINSERV_CT) 1.477e-01 2.755e-04 536.08 <2e-16 ***
log(DESTIN_SCH_CT) 2.885e-01 7.142e-04 403.94 <2e-16 ***
log(dist) -1.426e+00 2.756e-04 -5174.77 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 81514190 on 62119 degrees of freedom
Residual deviance: 41434535 on 62106 degrees of freedom
AIC: 41769936
Number of Fisher Scoring iterations: 7Origin Constrained SIM output
The R-squared value of 0.38 tells us that the explanatory variables are able to explain 38 % of the variance in the TRIPS target variable.
All the coefficients are statistically significant (refer to next tab). The most influential explanatory variables are distance, destination train exit count and destination school count with coefficients of -1.51, 0.49 and 0.29 respectively.
Call:
glm(formula = TRIPS ~ ORIGIN_GRID_ID + log(DESTIN_TRAIN_EXIT_CT) +
log(DESTIN_PRESCHOOL_CT) + log(DESTIN_BUSINESS_CT) + log(DESTIN_FINSERV_CT) +
log(DESTIN_SCH_CT) + log(dist) - 1, family = poisson(link = "log"),
data = flow_data1, na.action = na.exclude)
Deviance Residuals:
Min 1Q Median 3Q Max
-267.63 -11.13 -4.56 1.46 426.19
Coefficients:
Estimate Std. Error z value Pr(>|z|)
ORIGIN_GRID_ID23 14.2451175 0.1280578 111.240 <2e-16 ***
ORIGIN_GRID_ID44 14.9017180 0.1525180 97.705 <2e-16 ***
ORIGIN_GRID_ID46 13.8416319 0.0971519 142.474 <2e-16 ***
ORIGIN_GRID_ID66 14.5827381 0.1348610 108.132 <2e-16 ***
ORIGIN_GRID_ID67 15.6088559 0.0270738 576.529 <2e-16 ***
ORIGIN_GRID_ID68 13.2697276 0.1147267 115.664 <2e-16 ***
ORIGIN_GRID_ID86 14.1222438 0.0860897 164.041 <2e-16 ***
ORIGIN_GRID_ID87 15.8753002 0.0769632 206.271 <2e-16 ***
ORIGIN_GRID_ID88 16.0375415 0.0202271 792.873 <2e-16 ***
ORIGIN_GRID_ID89 14.1386759 0.0503571 280.768 <2e-16 ***
ORIGIN_GRID_ID90 13.2594056 0.1302055 101.834 <2e-16 ***
ORIGIN_GRID_ID109 13.8867955 0.1066208 130.245 <2e-16 ***
ORIGIN_GRID_ID110 14.1451772 0.0808725 174.907 <2e-16 ***
ORIGIN_GRID_ID111 17.0259424 0.0120980 1407.338 <2e-16 ***
ORIGIN_GRID_ID112 13.4360480 0.0718264 187.063 <2e-16 ***
ORIGIN_GRID_ID128 16.4957690 0.0255207 646.368 <2e-16 ***
ORIGIN_GRID_ID129 13.6803266 0.1889960 72.384 <2e-16 ***
ORIGIN_GRID_ID130 14.5702180 0.0558521 260.871 <2e-16 ***
ORIGIN_GRID_ID131 15.3293744 0.0324635 472.204 <2e-16 ***
ORIGIN_GRID_ID132 13.9519453 0.0567443 245.874 <2e-16 ***
ORIGIN_GRID_ID133 13.9369330 0.0427284 326.175 <2e-16 ***
ORIGIN_GRID_ID134 16.2067152 0.0262291 617.891 <2e-16 ***
ORIGIN_GRID_ID150 16.7308526 0.0213193 784.774 <2e-16 ***
ORIGIN_GRID_ID151 13.5327254 0.0822251 164.581 <2e-16 ***
ORIGIN_GRID_ID152 13.3504455 0.0870626 153.343 <2e-16 ***
ORIGIN_GRID_ID153 14.5042281 0.0451310 321.381 <2e-16 ***
ORIGIN_GRID_ID154 17.0687992 0.0096105 1776.064 <2e-16 ***
ORIGIN_GRID_ID155 13.9027121 0.0396143 350.952 <2e-16 ***
ORIGIN_GRID_ID156 14.5736556 0.0549191 265.366 <2e-16 ***
ORIGIN_GRID_ID172 15.4120143 0.0668516 230.541 <2e-16 ***
ORIGIN_GRID_ID174 14.3767175 0.0481532 298.562 <2e-16 ***
ORIGIN_GRID_ID175 16.5702598 0.0106628 1554.027 <2e-16 ***
ORIGIN_GRID_ID176 17.6450750 0.0066238 2663.895 <2e-16 ***
ORIGIN_GRID_ID195 13.2808952 0.0877278 151.387 <2e-16 ***
ORIGIN_GRID_ID196 13.8961090 0.0429643 323.433 <2e-16 ***
ORIGIN_GRID_ID197 12.9514365 0.1336462 96.908 <2e-16 ***
ORIGIN_GRID_ID215 14.0654132 0.0985571 142.713 <2e-16 ***
ORIGIN_GRID_ID216 18.0125123 0.0055704 3233.591 <2e-16 ***
ORIGIN_GRID_ID217 15.2619093 0.0222771 685.094 <2e-16 ***
ORIGIN_GRID_ID237 13.6055930 0.3015202 45.123 <2e-16 ***
ORIGIN_GRID_ID238 13.6194592 0.0762793 178.547 <2e-16 ***
ORIGIN_GRID_ID239 13.8770945 0.1443546 96.132 <2e-16 ***
ORIGIN_GRID_ID257 14.1642064 0.0622926 227.382 <2e-16 ***
ORIGIN_GRID_ID258 14.8953315 0.0289287 514.899 <2e-16 ***
ORIGIN_GRID_ID259 14.6367426 0.0413285 354.156 <2e-16 ***
ORIGIN_GRID_ID278 15.6498051 0.0374813 417.536 <2e-16 ***
ORIGIN_GRID_ID279 13.5977892 0.0487802 278.757 <2e-16 ***
ORIGIN_GRID_ID280 13.9864706 0.0506168 276.321 <2e-16 ***
ORIGIN_GRID_ID298 11.2780623 0.3779700 29.839 <2e-16 ***
ORIGIN_GRID_ID299 13.6961231 0.0597967 229.045 <2e-16 ***
ORIGIN_GRID_ID300 17.0659981 0.0088251 1933.809 <2e-16 ***
ORIGIN_GRID_ID320 14.2672705 0.0520260 274.234 <2e-16 ***
ORIGIN_GRID_ID321 14.1540763 0.0803485 176.159 <2e-16 ***
ORIGIN_GRID_ID322 15.5640058 0.0411565 378.167 <2e-16 ***
ORIGIN_GRID_ID340 15.6839065 0.0311684 503.199 <2e-16 ***
ORIGIN_GRID_ID341 13.9808442 0.0504853 276.929 <2e-16 ***
ORIGIN_GRID_ID342 14.7312414 0.0428850 343.505 <2e-16 ***
ORIGIN_GRID_ID363 15.4295844 0.0400190 385.556 <2e-16 ***
ORIGIN_GRID_ID364 15.2222753 0.0275907 551.718 <2e-16 ***
ORIGIN_GRID_ID383 14.8162818 0.0338898 437.190 <2e-16 ***
ORIGIN_GRID_ID384 13.7784216 0.0526704 261.597 <2e-16 ***
ORIGIN_GRID_ID385 13.9624879 0.0700398 199.351 <2e-16 ***
ORIGIN_GRID_ID404 15.7002804 0.0306507 512.232 <2e-16 ***
ORIGIN_GRID_ID405 14.6953295 0.0562912 261.059 <2e-16 ***
ORIGIN_GRID_ID406 18.9693855 0.0032442 5847.103 <2e-16 ***
ORIGIN_GRID_ID407 14.7927858 0.0497349 297.433 <2e-16 ***
ORIGIN_GRID_ID408 15.5463440 0.0254762 610.230 <2e-16 ***
ORIGIN_GRID_ID425 13.0574115 0.1037143 125.898 <2e-16 ***
ORIGIN_GRID_ID426 14.9468933 0.0311938 479.163 <2e-16 ***
ORIGIN_GRID_ID427 13.5834559 0.0487232 278.788 <2e-16 ***
ORIGIN_GRID_ID428 13.1128677 0.1250189 104.887 <2e-16 ***
ORIGIN_GRID_ID429 16.0302696 0.0216242 741.311 <2e-16 ***
ORIGIN_GRID_ID446 14.2636375 0.0712789 200.110 <2e-16 ***
ORIGIN_GRID_ID447 14.2033528 0.0412555 344.278 <2e-16 ***
ORIGIN_GRID_ID448 14.9973934 0.0282035 531.757 <2e-16 ***
ORIGIN_GRID_ID449 17.7525565 0.0066921 2652.750 <2e-16 ***
ORIGIN_GRID_ID450 15.6239824 0.0207544 752.805 <2e-16 ***
ORIGIN_GRID_ID468 14.9242353 0.0330694 451.301 <2e-16 ***
ORIGIN_GRID_ID469 15.8970418 0.0157313 1010.537 <2e-16 ***
ORIGIN_GRID_ID470 18.0830012 0.0050279 3596.505 <2e-16 ***
ORIGIN_GRID_ID471 16.3700698 0.0176829 925.756 <2e-16 ***
ORIGIN_GRID_ID488 14.6306740 0.0593772 246.402 <2e-16 ***
ORIGIN_GRID_ID489 12.0746590 0.1690428 71.430 <2e-16 ***
ORIGIN_GRID_ID490 16.4783227 0.0127206 1295.402 <2e-16 ***
ORIGIN_GRID_ID491 16.9643794 0.0081630 2078.215 <2e-16 ***
ORIGIN_GRID_ID493 11.6561974 0.2182279 53.413 <2e-16 ***
ORIGIN_GRID_ID494 13.6315522 0.0795839 171.285 <2e-16 ***
ORIGIN_GRID_ID509 14.7963369 0.0389783 379.605 <2e-16 ***
ORIGIN_GRID_ID510 15.4297685 0.0270183 571.086 <2e-16 ***
ORIGIN_GRID_ID511 16.0561083 0.0116733 1375.458 <2e-16 ***
ORIGIN_GRID_ID512 18.5898371 0.0037316 4981.722 <2e-16 ***
ORIGIN_GRID_ID513 15.3143949 0.0277209 552.449 <2e-16 ***
ORIGIN_GRID_ID514 14.0323726 0.0557670 251.625 <2e-16 ***
ORIGIN_GRID_ID515 12.1665310 0.2236167 54.408 <2e-16 ***
ORIGIN_GRID_ID530 13.9406411 0.0905594 153.939 <2e-16 ***
ORIGIN_GRID_ID531 15.2947538 0.0205992 742.494 <2e-16 ***
ORIGIN_GRID_ID532 14.5816153 0.0272166 535.761 <2e-16 ***
ORIGIN_GRID_ID533 18.3661435 0.0038007 4832.323 <2e-16 ***
ORIGIN_GRID_ID534 18.7534090 0.0040803 4596.044 <2e-16 ***
ORIGIN_GRID_ID536 15.4343822 0.0272831 565.711 <2e-16 ***
ORIGIN_GRID_ID537 12.4491355 0.1924616 64.684 <2e-16 ***
ORIGIN_GRID_ID538 12.7884778 0.2582100 49.527 <2e-16 ***
ORIGIN_GRID_ID539 12.3803686 1.0000029 12.380 <2e-16 ***
ORIGIN_GRID_ID551 14.3030229 0.0570147 250.866 <2e-16 ***
ORIGIN_GRID_ID552 15.7846197 0.0376917 418.782 <2e-16 ***
ORIGIN_GRID_ID553 15.0241196 0.0188993 794.957 <2e-16 ***
ORIGIN_GRID_ID554 18.3229635 0.0040238 4553.614 <2e-16 ***
ORIGIN_GRID_ID555 17.6223206 0.0078399 2247.784 <2e-16 ***
ORIGIN_GRID_ID559 13.5823702 0.1066217 127.388 <2e-16 ***
ORIGIN_GRID_ID560 15.5058420 0.0568485 272.757 <2e-16 ***
ORIGIN_GRID_ID561 9.9062088 1.0000018 9.906 <2e-16 ***
ORIGIN_GRID_ID572 10.6508472 0.5773538 18.448 <2e-16 ***
ORIGIN_GRID_ID573 14.0742282 0.0477148 294.966 <2e-16 ***
ORIGIN_GRID_ID574 15.0248881 0.0383198 392.092 <2e-16 ***
ORIGIN_GRID_ID575 19.1952489 0.0028393 6760.592 <2e-16 ***
ORIGIN_GRID_ID576 17.8250380 0.0053514 3330.939 <2e-16 ***
ORIGIN_GRID_ID578 13.1047360 0.1042786 125.670 <2e-16 ***
ORIGIN_GRID_ID582 13.3678316 0.1097837 121.765 <2e-16 ***
ORIGIN_GRID_ID583 13.1607900 0.5773559 22.795 <2e-16 ***
ORIGIN_GRID_ID584 16.3280828 0.0586798 278.257 <2e-16 ***
ORIGIN_GRID_ID593 14.3472750 0.0523865 273.873 <2e-16 ***
ORIGIN_GRID_ID594 15.3220391 0.0265944 576.139 <2e-16 ***
ORIGIN_GRID_ID595 14.8461706 0.0201403 737.136 <2e-16 ***
ORIGIN_GRID_ID596 17.6510301 0.0047349 3727.877 <2e-16 ***
ORIGIN_GRID_ID597 14.5255977 0.0613520 236.758 <2e-16 ***
ORIGIN_GRID_ID603 13.5009558 0.1178705 114.541 <2e-16 ***
ORIGIN_GRID_ID604 13.9893531 0.1924672 72.684 <2e-16 ***
ORIGIN_GRID_ID615 13.5537040 0.0508752 266.411 <2e-16 ***
ORIGIN_GRID_ID616 14.5370826 0.0330696 439.591 <2e-16 ***
ORIGIN_GRID_ID617 15.3499273 0.0194381 789.684 <2e-16 ***
ORIGIN_GRID_ID618 18.2096130 0.0041878 4348.275 <2e-16 ***
ORIGIN_GRID_ID620 15.3416595 0.0323407 474.376 <2e-16 ***
ORIGIN_GRID_ID637 13.9655662 0.0455943 306.301 <2e-16 ***
ORIGIN_GRID_ID638 17.7580489 0.0045821 3875.491 <2e-16 ***
ORIGIN_GRID_ID657 15.6795287 0.0174844 896.770 <2e-16 ***
ORIGIN_GRID_ID658 17.0206852 0.0067936 2505.388 <2e-16 ***
ORIGIN_GRID_ID659 17.3489636 0.0058195 2981.200 <2e-16 ***
ORIGIN_GRID_ID660 18.2707570 0.0038484 4747.686 <2e-16 ***
ORIGIN_GRID_ID662 18.0540697 0.0072726 2482.475 <2e-16 ***
ORIGIN_GRID_ID677 15.7138065 0.0238974 657.554 <2e-16 ***
ORIGIN_GRID_ID678 13.5378729 0.0501073 270.178 <2e-16 ***
ORIGIN_GRID_ID679 18.1888529 0.0040354 4507.310 <2e-16 ***
ORIGIN_GRID_ID680 18.2439364 0.0040227 4535.208 <2e-16 ***
ORIGIN_GRID_ID681 17.3125053 0.0089376 1937.052 <2e-16 ***
ORIGIN_GRID_ID699 15.1870432 0.0239110 635.149 <2e-16 ***
ORIGIN_GRID_ID700 17.2074468 0.0065409 2630.765 <2e-16 ***
ORIGIN_GRID_ID701 17.2993621 0.0065823 2628.155 <2e-16 ***
ORIGIN_GRID_ID702 18.1248396 0.0040088 4521.208 <2e-16 ***
ORIGIN_GRID_ID704 14.8882060 0.0344491 432.180 <2e-16 ***
ORIGIN_GRID_ID722 14.9954163 0.0207384 723.075 <2e-16 ***
ORIGIN_GRID_ID725 14.4419247 0.0419772 344.042 <2e-16 ***
ORIGIN_GRID_ID741 15.7987398 0.0169663 931.183 <2e-16 ***
ORIGIN_GRID_ID743 15.5303683 0.0136350 1139.008 <2e-16 ***
ORIGIN_GRID_ID744 17.5300735 0.0051503 3403.707 <2e-16 ***
ORIGIN_GRID_ID761 15.2343874 0.0305334 498.942 <2e-16 ***
ORIGIN_GRID_ID762 17.2428026 0.0075458 2285.093 <2e-16 ***
ORIGIN_GRID_ID763 14.0213451 0.0305308 459.252 <2e-16 ***
ORIGIN_GRID_ID764 17.9975209 0.0039919 4508.507 <2e-16 ***
ORIGIN_GRID_ID765 17.3232124 0.0088467 1958.161 <2e-16 ***
ORIGIN_GRID_ID767 18.6822161 0.0041205 4533.987 <2e-16 ***
ORIGIN_GRID_ID772 13.5315819 0.0816780 165.670 <2e-16 ***
ORIGIN_GRID_ID784 14.0812024 0.0287647 489.531 <2e-16 ***
ORIGIN_GRID_ID785 17.2967402 0.0048161 3591.408 <2e-16 ***
ORIGIN_GRID_ID786 16.8391374 0.0065861 2556.779 <2e-16 ***
ORIGIN_GRID_ID787 17.4479243 0.0077286 2257.582 <2e-16 ***
ORIGIN_GRID_ID788 17.9821264 0.0057456 3129.698 <2e-16 ***
ORIGIN_GRID_ID789 16.6047313 0.0112362 1477.795 <2e-16 ***
ORIGIN_GRID_ID803 13.4571515 0.0647184 207.934 <2e-16 ***
ORIGIN_GRID_ID804 18.1428701 0.0045475 3989.633 <2e-16 ***
ORIGIN_GRID_ID805 17.9841194 0.0038958 4616.245 <2e-16 ***
ORIGIN_GRID_ID806 17.4842677 0.0047984 3643.751 <2e-16 ***
ORIGIN_GRID_ID807 18.3543240 0.0046069 3984.064 <2e-16 ***
ORIGIN_GRID_ID808 16.6664151 0.0116512 1430.441 <2e-16 ***
ORIGIN_GRID_ID809 18.2269129 0.0039204 4649.216 <2e-16 ***
ORIGIN_GRID_ID810 17.5540710 0.0061040 2875.834 <2e-16 ***
ORIGIN_GRID_ID814 15.1810820 0.0278128 545.831 <2e-16 ***
ORIGIN_GRID_ID819 19.7307746 0.0193330 1020.575 <2e-16 ***
ORIGIN_GRID_ID824 14.4669486 0.0421611 343.135 <2e-16 ***
ORIGIN_GRID_ID826 15.6643387 0.0109143 1435.206 <2e-16 ***
ORIGIN_GRID_ID827 17.7378500 0.0043281 4098.304 <2e-16 ***
ORIGIN_GRID_ID828 17.8134466 0.0042095 4231.708 <2e-16 ***
ORIGIN_GRID_ID829 17.8472752 0.0050041 3566.542 <2e-16 ***
ORIGIN_GRID_ID830 17.9265760 0.0054247 3304.631 <2e-16 ***
ORIGIN_GRID_ID831 18.6478563 0.0034163 5458.481 <2e-16 ***
ORIGIN_GRID_ID832 17.7657923 0.0068185 2605.544 <2e-16 ***
ORIGIN_GRID_ID835 15.1725472 0.0297164 510.578 <2e-16 ***
ORIGIN_GRID_ID844 13.5569360 0.0781173 173.546 <2e-16 ***
ORIGIN_GRID_ID846 17.1754370 0.0058519 2935.043 <2e-16 ***
ORIGIN_GRID_ID847 15.9582774 0.0105858 1507.524 <2e-16 ***
ORIGIN_GRID_ID848 17.2919486 0.0053106 3256.098 <2e-16 ***
ORIGIN_GRID_ID849 16.4570173 0.0082684 1990.348 <2e-16 ***
ORIGIN_GRID_ID850 17.1900995 0.0060909 2822.242 <2e-16 ***
ORIGIN_GRID_ID851 17.7015099 0.0045916 3855.211 <2e-16 ***
ORIGIN_GRID_ID852 17.1785210 0.0065687 2615.212 <2e-16 ***
ORIGIN_GRID_ID853 19.0757214 0.0040162 4749.703 <2e-16 ***
ORIGIN_GRID_ID854 15.4067103 0.0263524 584.643 <2e-16 ***
ORIGIN_GRID_ID855 14.1597407 0.0455946 310.558 <2e-16 ***
ORIGIN_GRID_ID856 15.8127589 0.0187129 845.020 <2e-16 ***
ORIGIN_GRID_ID866 15.1733375 0.0286619 529.391 <2e-16 ***
ORIGIN_GRID_ID867 15.9661696 0.0126869 1258.479 <2e-16 ***
ORIGIN_GRID_ID868 14.9686580 0.0220228 679.690 <2e-16 ***
ORIGIN_GRID_ID869 17.9011738 0.0061764 2898.341 <2e-16 ***
ORIGIN_GRID_ID870 18.3029932 0.0034993 5230.417 <2e-16 ***
ORIGIN_GRID_ID871 17.8147571 0.0063159 2820.630 <2e-16 ***
ORIGIN_GRID_ID872 15.8926714 0.0120031 1324.044 <2e-16 ***
ORIGIN_GRID_ID873 16.1570535 0.0109536 1475.039 <2e-16 ***
ORIGIN_GRID_ID874 16.5276135 0.0084809 1948.798 <2e-16 ***
ORIGIN_GRID_ID875 13.4683734 0.0697046 193.221 <2e-16 ***
ORIGIN_GRID_ID876 14.6382364 0.0315332 464.217 <2e-16 ***
ORIGIN_GRID_ID877 13.9304756 0.0429206 324.564 <2e-16 ***
ORIGIN_GRID_ID887 15.6805940 0.0143171 1095.236 <2e-16 ***
ORIGIN_GRID_ID888 16.8378080 0.0077649 2168.448 <2e-16 ***
ORIGIN_GRID_ID889 14.0550843 0.0349641 401.986 <2e-16 ***
ORIGIN_GRID_ID890 17.8809204 0.0041574 4300.939 <2e-16 ***
ORIGIN_GRID_ID891 16.6618380 0.0117727 1415.298 <2e-16 ***
ORIGIN_GRID_ID893 17.7325033 0.0044407 3993.159 <2e-16 ***
ORIGIN_GRID_ID894 16.0497208 0.0109715 1462.858 <2e-16 ***
ORIGIN_GRID_ID895 15.6805458 0.0158569 988.880 <2e-16 ***
ORIGIN_GRID_ID896 14.7503114 0.0312809 471.544 <2e-16 ***
ORIGIN_GRID_ID897 12.8893467 0.0749790 171.906 <2e-16 ***
ORIGIN_GRID_ID898 14.8048067 0.0332686 445.008 <2e-16 ***
ORIGIN_GRID_ID908 16.8863752 0.0129553 1303.430 <2e-16 ***
ORIGIN_GRID_ID909 16.9089072 0.0063529 2661.590 <2e-16 ***
ORIGIN_GRID_ID910 15.1070021 0.0173971 868.362 <2e-16 ***
ORIGIN_GRID_ID911 16.3074514 0.0095616 1705.511 <2e-16 ***
ORIGIN_GRID_ID912 17.5713512 0.0047289 3715.748 <2e-16 ***
ORIGIN_GRID_ID915 17.6769898 0.0047406 3728.843 <2e-16 ***
ORIGIN_GRID_ID917 17.2504355 0.0074969 2301.006 <2e-16 ***
ORIGIN_GRID_ID918 13.7159455 0.0418266 327.924 <2e-16 ***
ORIGIN_GRID_ID919 17.0002329 0.0092893 1830.093 <2e-16 ***
ORIGIN_GRID_ID928 15.9971269 0.0151922 1052.983 <2e-16 ***
ORIGIN_GRID_ID929 17.3961580 0.0049579 3508.778 <2e-16 ***
ORIGIN_GRID_ID930 18.0672383 0.0035650 5067.982 <2e-16 ***
ORIGIN_GRID_ID931 15.1570526 0.0183782 824.732 <2e-16 ***
ORIGIN_GRID_ID932 15.6964026 0.0185231 847.396 <2e-16 ***
ORIGIN_GRID_ID933 17.3605527 0.0061017 2845.198 <2e-16 ***
ORIGIN_GRID_ID934 14.8466640 0.0203768 728.606 <2e-16 ***
ORIGIN_GRID_ID935 18.4642003 0.0035187 5247.514 <2e-16 ***
ORIGIN_GRID_ID938 11.5253619 0.2773572 41.554 <2e-16 ***
ORIGIN_GRID_ID939 18.4126896 0.0042938 4288.154 <2e-16 ***
ORIGIN_GRID_ID940 13.1812247 0.0945129 139.465 <2e-16 ***
ORIGIN_GRID_ID949 15.6962685 0.0148774 1055.038 <2e-16 ***
ORIGIN_GRID_ID950 17.6851223 0.0054438 3248.668 <2e-16 ***
ORIGIN_GRID_ID951 18.5556438 0.0032329 5739.581 <2e-16 ***
ORIGIN_GRID_ID952 15.5094972 0.0225702 687.166 <2e-16 ***
ORIGIN_GRID_ID953 16.4126656 0.0103696 1582.763 <2e-16 ***
ORIGIN_GRID_ID954 14.9348942 0.0184805 808.143 <2e-16 ***
ORIGIN_GRID_ID955 17.1561890 0.0061661 2782.319 <2e-16 ***
ORIGIN_GRID_ID956 15.6516609 0.0124231 1259.883 <2e-16 ***
ORIGIN_GRID_ID957 17.6012753 0.0060500 2909.322 <2e-16 ***
ORIGIN_GRID_ID959 14.5311537 0.0535671 271.270 <2e-16 ***
ORIGIN_GRID_ID961 14.0809281 0.0357937 393.391 <2e-16 ***
ORIGIN_GRID_ID962 20.2280658 0.0053043 3813.538 <2e-16 ***
ORIGIN_GRID_ID970 16.3144233 0.0087393 1866.784 <2e-16 ***
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ORIGIN_GRID_ID972 17.3938604 0.0051093 3404.383 <2e-16 ***
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ORIGIN_GRID_ID975 16.2990423 0.0095357 1709.262 <2e-16 ***
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ORIGIN_GRID_ID992 16.6321634 0.0073954 2248.982 <2e-16 ***
ORIGIN_GRID_ID993 16.1916552 0.0082679 1958.378 <2e-16 ***
ORIGIN_GRID_ID994 15.6999363 0.0120264 1305.455 <2e-16 ***
ORIGIN_GRID_ID995 17.0469424 0.0061167 2786.957 <2e-16 ***
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ORIGIN_GRID_ID997 15.2759456 0.0299495 510.057 <2e-16 ***
ORIGIN_GRID_ID998 18.1349592 0.0042813 4235.812 <2e-16 ***
ORIGIN_GRID_ID999 18.0013431 0.0059399 3030.587 <2e-16 ***
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ORIGIN_GRID_ID1024 18.0815758 0.0047588 3799.604 <2e-16 ***
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ORIGIN_GRID_ID1035 17.1063245 0.0058722 2913.122 <2e-16 ***
ORIGIN_GRID_ID1036 14.8756444 0.0183647 810.015 <2e-16 ***
ORIGIN_GRID_ID1037 16.2950958 0.0080017 2036.448 <2e-16 ***
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ORIGIN_GRID_ID1046 17.7677341 0.0054863 3238.572 <2e-16 ***
ORIGIN_GRID_ID1053 17.0492832 0.0063301 2693.359 <2e-16 ***
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ORIGIN_GRID_ID1056 15.9528073 0.0101863 1566.106 <2e-16 ***
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ORIGIN_GRID_ID1066 17.5808656 0.0053893 3262.178 <2e-16 ***
ORIGIN_GRID_ID1067 12.1080898 0.2041348 59.314 <2e-16 ***
ORIGIN_GRID_ID1074 16.5259309 0.0085831 1925.396 <2e-16 ***
ORIGIN_GRID_ID1075 15.7812503 0.0122232 1291.090 <2e-16 ***
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ORIGIN_GRID_ID1077 15.8117841 0.0113678 1390.927 <2e-16 ***
ORIGIN_GRID_ID1079 17.1235770 0.0060388 2835.605 <2e-16 ***
ORIGIN_GRID_ID1085 12.8100492 0.1796175 71.318 <2e-16 ***
ORIGIN_GRID_ID1087 17.6759167 0.0060759 2909.168 <2e-16 ***
ORIGIN_GRID_ID1088 16.1727802 0.0125817 1285.416 <2e-16 ***
ORIGIN_GRID_ID1094 14.5954630 0.0496823 293.776 <2e-16 ***
ORIGIN_GRID_ID1095 14.0403575 0.0442392 317.374 <2e-16 ***
ORIGIN_GRID_ID1096 15.4968823 0.0225906 685.988 <2e-16 ***
ORIGIN_GRID_ID1097 17.5426136 0.0042426 4134.886 <2e-16 ***
ORIGIN_GRID_ID1098 14.9352904 0.0200658 744.316 <2e-16 ***
ORIGIN_GRID_ID1099 16.5542420 0.0075442 2194.307 <2e-16 ***
ORIGIN_GRID_ID1105 13.9779803 0.0795874 175.631 <2e-16 ***
ORIGIN_GRID_ID1106 12.9690763 0.1154887 112.297 <2e-16 ***
ORIGIN_GRID_ID1107 15.2019554 0.0309146 491.741 <2e-16 ***
ORIGIN_GRID_ID1108 19.1986166 0.0029459 6517.117 <2e-16 ***
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ORIGIN_GRID_ID1116 16.2816204 0.0095296 1708.530 <2e-16 ***
ORIGIN_GRID_ID1117 14.3024362 0.0230075 621.641 <2e-16 ***
ORIGIN_GRID_ID1118 14.7064264 0.0206825 711.056 <2e-16 ***
ORIGIN_GRID_ID1119 15.5462158 0.0114503 1357.708 <2e-16 ***
ORIGIN_GRID_ID1120 15.5109387 0.0147893 1048.795 <2e-16 ***
ORIGIN_GRID_ID1129 17.9434691 0.0049768 3605.389 <2e-16 ***
ORIGIN_GRID_ID1130 18.2243182 0.0042446 4293.540 <2e-16 ***
ORIGIN_GRID_ID1131 15.9885622 0.0176500 905.870 <2e-16 ***
ORIGIN_GRID_ID1136 15.2623951 0.0157885 966.680 <2e-16 ***
ORIGIN_GRID_ID1138 13.7507982 0.0406410 338.348 <2e-16 ***
ORIGIN_GRID_ID1139 16.7567951 0.0058367 2870.929 <2e-16 ***
ORIGIN_GRID_ID1141 16.7599501 0.0070031 2393.226 <2e-16 ***
ORIGIN_GRID_ID1148 14.6181755 0.0552656 264.508 <2e-16 ***
ORIGIN_GRID_ID1149 15.6699483 0.0201119 779.138 <2e-16 ***
ORIGIN_GRID_ID1150 18.2630726 0.0039189 4660.295 <2e-16 ***
ORIGIN_GRID_ID1151 17.3338057 0.0068409 2533.855 <2e-16 ***
ORIGIN_GRID_ID1158 15.3814270 0.0127814 1203.425 <2e-16 ***
ORIGIN_GRID_ID1159 16.5980461 0.0063790 2601.989 <2e-16 ***
ORIGIN_GRID_ID1160 17.4554035 0.0043351 4026.542 <2e-16 ***
ORIGIN_GRID_ID1171 18.3989089 0.0041857 4395.621 <2e-16 ***
ORIGIN_GRID_ID1172 18.3175922 0.0041240 4441.732 <2e-16 ***
ORIGIN_GRID_ID1173 16.0262204 0.0136856 1171.027 <2e-16 ***
ORIGIN_GRID_ID1174 12.4266284 0.2582065 48.127 <2e-16 ***
ORIGIN_GRID_ID1178 15.4637874 0.0120600 1282.238 <2e-16 ***
ORIGIN_GRID_ID1179 16.1188222 0.0080372 2005.516 <2e-16 ***
ORIGIN_GRID_ID1180 17.0663933 0.0050026 3411.489 <2e-16 ***
ORIGIN_GRID_ID1181 16.2096781 0.0074509 2175.536 <2e-16 ***
ORIGIN_GRID_ID1183 15.2471728 0.0145962 1044.599 <2e-16 ***
ORIGIN_GRID_ID1190 14.6628397 0.0506860 289.288 <2e-16 ***
ORIGIN_GRID_ID1192 17.5903037 0.0067459 2607.554 <2e-16 ***
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ORIGIN_GRID_ID1194 15.7972681 0.0157053 1005.856 <2e-16 ***
ORIGIN_GRID_ID1200 16.4529011 0.0074885 2197.095 <2e-16 ***
ORIGIN_GRID_ID1201 16.0972617 0.0081862 1966.381 <2e-16 ***
ORIGIN_GRID_ID1203 16.6339373 0.0066649 2495.760 <2e-16 ***
ORIGIN_GRID_ID1204 16.6481020 0.0070943 2346.688 <2e-16 ***
ORIGIN_GRID_ID1211 12.3990329 0.2182281 56.817 <2e-16 ***
ORIGIN_GRID_ID1214 18.1774786 0.0044162 4116.076 <2e-16 ***
ORIGIN_GRID_ID1215 14.8980924 0.0443762 335.722 <2e-16 ***
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ORIGIN_GRID_ID1220 17.2931059 0.0049274 3509.550 <2e-16 ***
ORIGIN_GRID_ID1221 16.9156064 0.0052663 3212.062 <2e-16 ***
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ORIGIN_GRID_ID1224 15.4541283 0.0119980 1288.060 <2e-16 ***
ORIGIN_GRID_ID1231 12.0962247 0.2000110 60.478 <2e-16 ***
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ORIGIN_GRID_ID1235 15.6665412 0.0143997 1087.980 <2e-16 ***
ORIGIN_GRID_ID1236 15.8880084 0.0153300 1036.403 <2e-16 ***
ORIGIN_GRID_ID1241 15.5032640 0.0117776 1316.330 <2e-16 ***
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ORIGIN_GRID_ID1243 16.7008614 0.0057020 2928.954 <2e-16 ***
ORIGIN_GRID_ID1246 15.6468183 0.0105998 1476.140 <2e-16 ***
ORIGIN_GRID_ID1256 17.0372648 0.0077911 2186.771 <2e-16 ***
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ORIGIN_GRID_ID1262 16.0208048 0.0092303 1735.674 <2e-16 ***
ORIGIN_GRID_ID1263 16.3743978 0.0063841 2564.874 <2e-16 ***
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ORIGIN_GRID_ID1266 16.4057122 0.0083747 1958.965 <2e-16 ***
ORIGIN_GRID_ID1267 14.3323530 0.0332455 431.106 <2e-16 ***
ORIGIN_GRID_ID1272 12.0125320 0.1474567 81.465 <2e-16 ***
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ORIGIN_GRID_ID1277 17.9268958 0.0044832 3998.641 <2e-16 ***
ORIGIN_GRID_ID1278 15.5984230 0.0149741 1041.694 <2e-16 ***
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ORIGIN_GRID_ID1284 16.8390635 0.0055147 3053.495 <2e-16 ***
ORIGIN_GRID_ID1285 17.5011002 0.0041522 4214.911 <2e-16 ***
ORIGIN_GRID_ID1286 15.6079102 0.0121731 1282.167 <2e-16 ***
ORIGIN_GRID_ID1289 13.8291984 0.0543602 254.399 <2e-16 ***
ORIGIN_GRID_ID1293 13.4836384 0.0822287 163.977 <2e-16 ***
ORIGIN_GRID_ID1294 17.6160698 0.0065529 2688.291 <2e-16 ***
ORIGIN_GRID_ID1295 15.1319287 0.0227239 665.905 <2e-16 ***
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ORIGIN_GRID_ID1299 17.5560434 0.0065486 2680.889 <2e-16 ***
ORIGIN_GRID_ID1304 17.4475747 0.0044806 3894.020 <2e-16 ***
ORIGIN_GRID_ID1305 16.8355117 0.0048918 3441.596 <2e-16 ***
ORIGIN_GRID_ID1307 12.7523195 0.0534180 238.727 <2e-16 ***
ORIGIN_GRID_ID1308 16.4931691 0.0071163 2317.665 <2e-16 ***
ORIGIN_GRID_ID1310 11.8443969 0.2357132 50.249 <2e-16 ***
ORIGIN_GRID_ID1316 14.1034330 0.0375950 375.142 <2e-16 ***
ORIGIN_GRID_ID1317 15.9725869 0.0123278 1295.658 <2e-16 ***
ORIGIN_GRID_ID1318 15.2630826 0.0175718 868.614 <2e-16 ***
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ORIGIN_GRID_ID1320 16.9359819 0.0092557 1829.797 <2e-16 ***
ORIGIN_GRID_ID1325 15.0968783 0.0137225 1100.153 <2e-16 ***
ORIGIN_GRID_ID1326 17.0018469 0.0047504 3579.035 <2e-16 ***
ORIGIN_GRID_ID1327 16.6271780 0.0053683 3097.271 <2e-16 ***
ORIGIN_GRID_ID1328 15.1218931 0.0112606 1342.900 <2e-16 ***
ORIGIN_GRID_ID1329 15.5556712 0.0132047 1178.045 <2e-16 ***
ORIGIN_GRID_ID1330 16.3714381 0.0091529 1788.661 <2e-16 ***
ORIGIN_GRID_ID1331 11.3039077 0.3333400 33.911 <2e-16 ***
ORIGIN_GRID_ID1333 15.6004291 0.0134669 1158.426 <2e-16 ***
ORIGIN_GRID_ID1334 15.8865608 0.0125150 1269.397 <2e-16 ***
ORIGIN_GRID_ID1335 15.3870509 0.0181481 847.858 <2e-16 ***
ORIGIN_GRID_ID1336 12.9630002 0.1386959 93.463 <2e-16 ***
ORIGIN_GRID_ID1337 13.4023439 0.0583662 229.625 <2e-16 ***
ORIGIN_GRID_ID1338 12.0729114 0.1170603 103.134 <2e-16 ***
ORIGIN_GRID_ID1339 17.9820689 0.0043399 4143.444 <2e-16 ***
ORIGIN_GRID_ID1340 16.5002487 0.0096601 1708.085 <2e-16 ***
ORIGIN_GRID_ID1341 13.6662040 0.2236187 61.114 <2e-16 ***
ORIGIN_GRID_ID1346 16.4588634 0.0071532 2300.921 <2e-16 ***
ORIGIN_GRID_ID1347 17.4091371 0.0041156 4230.085 <2e-16 ***
ORIGIN_GRID_ID1348 15.6736325 0.0074603 2100.950 <2e-16 ***
ORIGIN_GRID_ID1349 15.4908038 0.0097021 1596.648 <2e-16 ***
ORIGIN_GRID_ID1350 15.9203914 0.0118226 1346.607 <2e-16 ***
ORIGIN_GRID_ID1353 15.6684748 0.0109038 1436.968 <2e-16 ***
ORIGIN_GRID_ID1354 15.4181140 0.0139284 1106.955 <2e-16 ***
ORIGIN_GRID_ID1355 16.3100210 0.0092426 1764.654 <2e-16 ***
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ORIGIN_GRID_ID1359 17.2341963 0.0057723 2985.661 <2e-16 ***
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ORIGIN_GRID_ID1362 14.7306459 0.0415464 354.559 <2e-16 ***
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ORIGIN_GRID_ID1370 16.2730420 0.0059278 2745.193 <2e-16 ***
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ORIGIN_GRID_ID1372 15.3660436 0.0140142 1096.463 <2e-16 ***
ORIGIN_GRID_ID1373 13.3268447 0.0527534 252.626 <2e-16 ***
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ORIGIN_GRID_ID1375 16.6798721 0.0084530 1973.257 <2e-16 ***
ORIGIN_GRID_ID1376 16.0205479 0.0138804 1154.183 <2e-16 ***
ORIGIN_GRID_ID1379 14.5357689 0.0363150 400.269 <2e-16 ***
ORIGIN_GRID_ID1380 18.2832132 0.0036581 4998.028 <2e-16 ***
ORIGIN_GRID_ID1381 17.9489014 0.0042418 4231.440 <2e-16 ***
ORIGIN_GRID_ID1382 17.5304248 0.0066711 2627.808 <2e-16 ***
ORIGIN_GRID_ID1383 15.0687617 0.0257348 585.540 <2e-16 ***
ORIGIN_GRID_ID1388 15.7740261 0.0076984 2049.003 <2e-16 ***
ORIGIN_GRID_ID1389 14.4490867 0.0128185 1127.208 <2e-16 ***
ORIGIN_GRID_ID1390 15.5434072 0.0079066 1965.869 <2e-16 ***
ORIGIN_GRID_ID1391 15.6088994 0.0086917 1795.847 <2e-16 ***
ORIGIN_GRID_ID1392 15.0702693 0.0190168 792.473 <2e-16 ***
ORIGIN_GRID_ID1393 14.6447975 0.0164810 888.588 <2e-16 ***
ORIGIN_GRID_ID1394 15.9157392 0.0084716 1878.728 <2e-16 ***
ORIGIN_GRID_ID1395 15.9736727 0.0083850 1905.024 <2e-16 ***
ORIGIN_GRID_ID1396 17.1392672 0.0055988 3061.252 <2e-16 ***
ORIGIN_GRID_ID1397 17.1961585 0.0057206 3006.021 <2e-16 ***
ORIGIN_GRID_ID1398 16.2287113 0.0120015 1352.227 <2e-16 ***
ORIGIN_GRID_ID1400 17.4333254 0.0069822 2496.810 <2e-16 ***
ORIGIN_GRID_ID1401 17.6693474 0.0044579 3963.570 <2e-16 ***
ORIGIN_GRID_ID1402 17.8117647 0.0048446 3676.643 <2e-16 ***
ORIGIN_GRID_ID1404 17.4338300 0.0157244 1108.713 <2e-16 ***
ORIGIN_GRID_ID1410 15.2351229 0.0088422 1722.999 <2e-16 ***
ORIGIN_GRID_ID1411 15.1489547 0.0091401 1657.420 <2e-16 ***
ORIGIN_GRID_ID1412 15.5189146 0.0074656 2078.722 <2e-16 ***
ORIGIN_GRID_ID1413 16.5200490 0.0058100 2843.406 <2e-16 ***
ORIGIN_GRID_ID1414 16.0531417 0.0072008 2229.367 <2e-16 ***
ORIGIN_GRID_ID1415 15.5938115 0.0103046 1513.281 <2e-16 ***
ORIGIN_GRID_ID1416 16.2779757 0.0076286 2133.821 <2e-16 ***
ORIGIN_GRID_ID1417 16.2761064 0.0072872 2233.509 <2e-16 ***
ORIGIN_GRID_ID1418 17.1815943 0.0053613 3204.737 <2e-16 ***
ORIGIN_GRID_ID1419 16.6907906 0.0072729 2294.945 <2e-16 ***
ORIGIN_GRID_ID1422 17.7235320 0.0054071 3277.822 <2e-16 ***
ORIGIN_GRID_ID1423 18.7124637 0.0037154 5036.467 <2e-16 ***
ORIGIN_GRID_ID1430 15.8803753 0.0069341 2290.192 <2e-16 ***
ORIGIN_GRID_ID1431 15.8410955 0.0059096 2680.558 <2e-16 ***
ORIGIN_GRID_ID1432 15.9875862 0.0056773 2816.057 <2e-16 ***
ORIGIN_GRID_ID1433 14.7213046 0.0183009 804.405 <2e-16 ***
ORIGIN_GRID_ID1434 16.4591562 0.0061271 2686.288 <2e-16 ***
ORIGIN_GRID_ID1435 17.1015750 0.0046403 3685.477 <2e-16 ***
ORIGIN_GRID_ID1436 14.0108708 0.0261326 536.144 <2e-16 ***
ORIGIN_GRID_ID1437 17.2368138 0.0049619 3473.813 <2e-16 ***
ORIGIN_GRID_ID1438 17.6533563 0.0039049 4520.864 <2e-16 ***
ORIGIN_GRID_ID1439 18.3175407 0.0035155 5210.445 <2e-16 ***
ORIGIN_GRID_ID1440 14.7490518 0.0216425 681.486 <2e-16 ***
ORIGIN_GRID_ID1442 17.3098980 0.0071213 2430.710 <2e-16 ***
ORIGIN_GRID_ID1443 18.3898641 0.0040658 4523.067 <2e-16 ***
ORIGIN_GRID_ID1444 17.6383903 0.0079052 2231.234 <2e-16 ***
ORIGIN_GRID_ID1452 14.9593968 0.0093231 1604.558 <2e-16 ***
ORIGIN_GRID_ID1453 15.1924928 0.0089950 1689.000 <2e-16 ***
ORIGIN_GRID_ID1454 14.2334894 0.0213080 667.987 <2e-16 ***
ORIGIN_GRID_ID1455 15.6970803 0.0092916 1689.386 <2e-16 ***
ORIGIN_GRID_ID1456 16.4522848 0.0066709 2466.269 <2e-16 ***
ORIGIN_GRID_ID1457 17.3909938 0.0046151 3768.295 <2e-16 ***
ORIGIN_GRID_ID1458 17.4836055 0.0042198 4143.226 <2e-16 ***
ORIGIN_GRID_ID1459 17.0888709 0.0051440 3322.077 <2e-16 ***
ORIGIN_GRID_ID1460 16.3151736 0.0072169 2260.676 <2e-16 ***
ORIGIN_GRID_ID1461 15.0664903 0.0180286 835.701 <2e-16 ***
ORIGIN_GRID_ID1464 18.6595210 0.0038671 4825.203 <2e-16 ***
ORIGIN_GRID_ID1465 18.2874288 0.0050610 3613.438 <2e-16 ***
ORIGIN_GRID_ID1472 13.5147737 0.0235105 574.840 <2e-16 ***
ORIGIN_GRID_ID1473 14.5113210 0.0118085 1228.884 <2e-16 ***
ORIGIN_GRID_ID1474 15.6861892 0.0063172 2483.087 <2e-16 ***
ORIGIN_GRID_ID1475 16.7810662 0.0049252 3407.218 <2e-16 ***
ORIGIN_GRID_ID1476 16.3180706 0.0070697 2308.175 <2e-16 ***
ORIGIN_GRID_ID1477 17.8965736 0.0033903 5278.816 <2e-16 ***
ORIGIN_GRID_ID1478 16.3101763 0.0070750 2305.334 <2e-16 ***
ORIGIN_GRID_ID1479 16.5567289 0.0063584 2603.913 <2e-16 ***
ORIGIN_GRID_ID1480 18.2914780 0.0032819 5573.519 <2e-16 ***
ORIGIN_GRID_ID1481 15.8950884 0.0107565 1477.719 <2e-16 ***
ORIGIN_GRID_ID1482 15.7180967 0.0144542 1087.441 <2e-16 ***
ORIGIN_GRID_ID1485 18.1315500 0.0052061 3482.720 <2e-16 ***
ORIGIN_GRID_ID1494 14.6979676 0.0142563 1030.984 <2e-16 ***
ORIGIN_GRID_ID1495 14.9830559 0.0091972 1629.096 <2e-16 ***
ORIGIN_GRID_ID1496 16.1616034 0.0053396 3026.761 <2e-16 ***
ORIGIN_GRID_ID1497 16.7090124 0.0056938 2934.583 <2e-16 ***
ORIGIN_GRID_ID1498 17.2156326 0.0045827 3756.681 <2e-16 ***
ORIGIN_GRID_ID1499 17.5238718 0.0041259 4247.327 <2e-16 ***
ORIGIN_GRID_ID1500 17.4643857 0.0057799 3021.597 <2e-16 ***
ORIGIN_GRID_ID1501 17.5808901 0.0041678 4218.285 <2e-16 ***
ORIGIN_GRID_ID1502 17.2173553 0.0051689 3330.948 <2e-16 ***
ORIGIN_GRID_ID1506 12.8507580 0.1195432 107.499 <2e-16 ***
ORIGIN_GRID_ID1515 13.7973889 0.0260764 529.114 <2e-16 ***
ORIGIN_GRID_ID1516 15.3442328 0.0080525 1905.522 <2e-16 ***
ORIGIN_GRID_ID1517 15.8449939 0.0074663 2122.212 <2e-16 ***
ORIGIN_GRID_ID1518 16.1415084 0.0080100 2015.167 <2e-16 ***
ORIGIN_GRID_ID1519 17.6689961 0.0052478 3366.924 <2e-16 ***
ORIGIN_GRID_ID1520 16.3021631 0.0074225 2196.325 <2e-16 ***
ORIGIN_GRID_ID1521 15.6400889 0.0112459 1390.742 <2e-16 ***
ORIGIN_GRID_ID1522 17.8928311 0.0038908 4598.697 <2e-16 ***
ORIGIN_GRID_ID1523 16.2192624 0.0163322 993.088 <2e-16 ***
ORIGIN_GRID_ID1524 16.4545329 0.0102114 1611.387 <2e-16 ***
ORIGIN_GRID_ID1527 16.0783527 0.0167999 957.049 <2e-16 ***
ORIGIN_GRID_ID1535 12.2668793 0.0995248 123.255 <2e-16 ***
ORIGIN_GRID_ID1536 13.2074040 0.0354155 372.927 <2e-16 ***
ORIGIN_GRID_ID1537 13.7853121 0.0205426 671.058 <2e-16 ***
ORIGIN_GRID_ID1538 15.6766471 0.0070475 2224.439 <2e-16 ***
ORIGIN_GRID_ID1539 16.3345797 0.0056782 2876.732 <2e-16 ***
ORIGIN_GRID_ID1540 17.1228504 0.0047622 3595.608 <2e-16 ***
ORIGIN_GRID_ID1541 18.3669932 0.0054486 3370.951 <2e-16 ***
ORIGIN_GRID_ID1542 15.3819173 0.0162279 947.868 <2e-16 ***
ORIGIN_GRID_ID1543 15.7542749 0.0227144 693.581 <2e-16 ***
ORIGIN_GRID_ID1544 17.1730920 0.0068948 2490.739 <2e-16 ***
ORIGIN_GRID_ID1547 13.9260927 0.0634116 219.614 <2e-16 ***
ORIGIN_GRID_ID1556 13.7388718 0.0690398 198.999 <2e-16 ***
ORIGIN_GRID_ID1557 13.1207730 0.0375865 349.082 <2e-16 ***
ORIGIN_GRID_ID1558 14.4641690 0.0208265 694.507 <2e-16 ***
ORIGIN_GRID_ID1559 16.4087418 0.0053926 3042.853 <2e-16 ***
ORIGIN_GRID_ID1560 17.3903500 0.0040869 4255.115 <2e-16 ***
ORIGIN_GRID_ID1561 17.6973703 0.0049516 3574.047 <2e-16 ***
ORIGIN_GRID_ID1562 14.6073765 0.0215940 676.456 <2e-16 ***
ORIGIN_GRID_ID1563 16.2442491 0.0077791 2088.186 <2e-16 ***
ORIGIN_GRID_ID1564 15.4438127 0.0141634 1090.406 <2e-16 ***
ORIGIN_GRID_ID1565 15.4943511 0.0145833 1062.472 <2e-16 ***
ORIGIN_GRID_ID1566 15.0035428 0.0208648 719.083 <2e-16 ***
ORIGIN_GRID_ID1567 12.9440168 0.0953687 135.726 <2e-16 ***
ORIGIN_GRID_ID1568 13.5629170 0.0677602 200.160 <2e-16 ***
ORIGIN_GRID_ID1578 10.7414127 0.2582065 41.600 <2e-16 ***
ORIGIN_GRID_ID1580 14.9628073 0.0176891 845.876 <2e-16 ***
ORIGIN_GRID_ID1581 13.8963794 0.0220154 631.212 <2e-16 ***
ORIGIN_GRID_ID1582 17.2185734 0.0043257 3980.524 <2e-16 ***
ORIGIN_GRID_ID1583 15.8950566 0.0215038 739.176 <2e-16 ***
ORIGIN_GRID_ID1584 15.9549406 0.0110319 1446.252 <2e-16 ***
ORIGIN_GRID_ID1585 16.2955838 0.0098932 1647.157 <2e-16 ***
ORIGIN_GRID_ID1586 15.4154192 0.0139705 1103.423 <2e-16 ***
ORIGIN_GRID_ID1589 13.1037199 0.0995267 131.660 <2e-16 ***
ORIGIN_GRID_ID1590 13.5740686 0.0703956 192.826 <2e-16 ***
ORIGIN_GRID_ID1600 17.0695739 0.0101699 1678.447 <2e-16 ***
ORIGIN_GRID_ID1601 15.6237697 0.0081704 1912.247 <2e-16 ***
ORIGIN_GRID_ID1602 16.6270190 0.0065424 2541.432 <2e-16 ***
ORIGIN_GRID_ID1603 17.4957952 0.0043904 3985.036 <2e-16 ***
ORIGIN_GRID_ID1604 15.9614359 0.0084373 1891.764 <2e-16 ***
ORIGIN_GRID_ID1605 17.3248410 0.0046388 3734.801 <2e-16 ***
ORIGIN_GRID_ID1606 16.9860016 0.0098900 1717.493 <2e-16 ***
ORIGIN_GRID_ID1607 16.0951157 0.0098553 1633.147 <2e-16 ***
ORIGIN_GRID_ID1608 17.6770689 0.0048076 3676.920 <2e-16 ***
ORIGIN_GRID_ID1609 17.4353525 0.0059252 2942.570 <2e-16 ***
ORIGIN_GRID_ID1610 14.0745559 0.0668522 210.532 <2e-16 ***
ORIGIN_GRID_ID1622 15.7625061 0.0222527 708.343 <2e-16 ***
ORIGIN_GRID_ID1623 17.0443808 0.0045066 3782.095 <2e-16 ***
ORIGIN_GRID_ID1624 15.9792716 0.0086645 1844.232 <2e-16 ***
ORIGIN_GRID_ID1625 17.3173097 0.0050355 3439.069 <2e-16 ***
ORIGIN_GRID_ID1626 17.8794626 0.0037443 4775.073 <2e-16 ***
ORIGIN_GRID_ID1627 16.2890561 0.0075871 2146.940 <2e-16 ***
ORIGIN_GRID_ID1628 18.0724374 0.0038004 4755.436 <2e-16 ***
ORIGIN_GRID_ID1629 16.9179640 0.0070438 2401.820 <2e-16 ***
ORIGIN_GRID_ID1630 16.7650187 0.0079886 2098.624 <2e-16 ***
ORIGIN_GRID_ID1631 13.3046367 0.0702209 189.468 <2e-16 ***
ORIGIN_GRID_ID1642 14.7707906 0.0303865 486.097 <2e-16 ***
ORIGIN_GRID_ID1643 16.9491436 0.0047668 3555.634 <2e-16 ***
ORIGIN_GRID_ID1644 15.0231224 0.0173147 867.650 <2e-16 ***
ORIGIN_GRID_ID1645 16.5620306 0.0065182 2540.905 <2e-16 ***
ORIGIN_GRID_ID1646 16.4668462 0.0094494 1742.628 <2e-16 ***
ORIGIN_GRID_ID1647 16.6047773 0.0062327 2664.137 <2e-16 ***
ORIGIN_GRID_ID1648 17.1696640 0.0051822 3313.208 <2e-16 ***
ORIGIN_GRID_ID1649 17.9054587 0.0040334 4439.261 <2e-16 ***
ORIGIN_GRID_ID1650 17.6309211 0.0055051 3202.668 <2e-16 ***
ORIGIN_GRID_ID1664 11.9737262 0.1474550 81.203 <2e-16 ***
ORIGIN_GRID_ID1665 17.2311991 0.0043739 3939.539 <2e-16 ***
ORIGIN_GRID_ID1666 15.9812745 0.0075814 2107.969 <2e-16 ***
ORIGIN_GRID_ID1667 17.1926925 0.0108682 1581.932 <2e-16 ***
ORIGIN_GRID_ID1668 17.2254454 0.0050337 3422.026 <2e-16 ***
ORIGIN_GRID_ID1670 18.0524064 0.0038126 4734.907 <2e-16 ***
ORIGIN_GRID_ID1671 18.5969241 0.0053266 3491.305 <2e-16 ***
ORIGIN_GRID_ID1672 17.6978414 0.0059516 2973.603 <2e-16 ***
ORIGIN_GRID_ID1684 16.2710668 0.0136857 1188.912 <2e-16 ***
ORIGIN_GRID_ID1685 16.8344316 0.0057030 2951.867 <2e-16 ***
ORIGIN_GRID_ID1686 16.6469488 0.0057551 2892.535 <2e-16 ***
ORIGIN_GRID_ID1687 16.5999421 0.0078216 2122.320 <2e-16 ***
ORIGIN_GRID_ID1688 15.9372845 0.0090901 1753.261 <2e-16 ***
ORIGIN_GRID_ID1689 15.3893192 0.0135694 1134.122 <2e-16 ***
ORIGIN_GRID_ID1690 17.0447163 0.0068254 2497.258 <2e-16 ***
ORIGIN_GRID_ID1691 17.6050203 0.0047169 3732.338 <2e-16 ***
ORIGIN_GRID_ID1692 16.7287393 0.0084918 1969.981 <2e-16 ***
ORIGIN_GRID_ID1706 16.7420287 0.0067616 2476.029 <2e-16 ***
ORIGIN_GRID_ID1707 16.6833061 0.0054200 3078.108 <2e-16 ***
ORIGIN_GRID_ID1708 17.3364541 0.0044729 3875.855 <2e-16 ***
ORIGIN_GRID_ID1709 16.4735307 0.0069583 2367.479 <2e-16 ***
ORIGIN_GRID_ID1710 17.6138773 0.0045756 3849.519 <2e-16 ***
ORIGIN_GRID_ID1711 17.2263867 0.0055178 3121.943 <2e-16 ***
ORIGIN_GRID_ID1712 17.9170753 0.0038147 4696.905 <2e-16 ***
ORIGIN_GRID_ID1713 15.3915583 0.0136571 1127.003 <2e-16 ***
ORIGIN_GRID_ID1714 17.8026448 0.0049738 3579.318 <2e-16 ***
ORIGIN_GRID_ID1727 16.9509231 0.0056716 2988.717 <2e-16 ***
ORIGIN_GRID_ID1728 16.8939841 0.0053120 3180.338 <2e-16 ***
ORIGIN_GRID_ID1729 16.5333646 0.0062203 2657.971 <2e-16 ***
ORIGIN_GRID_ID1730 14.6331953 0.0233272 627.301 <2e-16 ***
ORIGIN_GRID_ID1731 17.2199949 0.0055100 3125.233 <2e-16 ***
ORIGIN_GRID_ID1732 17.6535933 0.0041253 4279.318 <2e-16 ***
ORIGIN_GRID_ID1733 17.3656367 0.0048346 3591.973 <2e-16 ***
ORIGIN_GRID_ID1734 17.5098099 0.0046313 3780.753 <2e-16 ***
ORIGIN_GRID_ID1735 18.5685663 0.0060306 3079.033 <2e-16 ***
ORIGIN_GRID_ID1748 15.7210032 0.0106369 1477.975 <2e-16 ***
ORIGIN_GRID_ID1749 16.6563438 0.0056068 2970.715 <2e-16 ***
ORIGIN_GRID_ID1750 15.8840976 0.0080414 1975.293 <2e-16 ***
ORIGIN_GRID_ID1751 15.8374483 0.0113069 1400.689 <2e-16 ***
ORIGIN_GRID_ID1753 17.7543898 0.0042548 4172.807 <2e-16 ***
ORIGIN_GRID_ID1754 17.9551984 0.0037754 4755.852 <2e-16 ***
ORIGIN_GRID_ID1755 17.4129024 0.0047141 3693.812 <2e-16 ***
ORIGIN_GRID_ID1756 17.1963193 0.0056645 3035.825 <2e-16 ***
ORIGIN_GRID_ID1757 14.5842184 0.0337151 432.572 <2e-16 ***
ORIGIN_GRID_ID1769 16.5471442 0.0065281 2534.767 <2e-16 ***
ORIGIN_GRID_ID1770 16.4583910 0.0107983 1524.159 <2e-16 ***
ORIGIN_GRID_ID1771 15.5105255 0.0116498 1331.396 <2e-16 ***
ORIGIN_GRID_ID1772 15.1895957 0.0268473 565.778 <2e-16 ***
ORIGIN_GRID_ID1774 17.4074013 0.0046984 3704.958 <2e-16 ***
ORIGIN_GRID_ID1775 16.9112113 0.0058896 2871.362 <2e-16 ***
ORIGIN_GRID_ID1776 17.9031157 0.0038288 4675.857 <2e-16 ***
ORIGIN_GRID_ID1777 17.9497827 0.0042139 4259.643 <2e-16 ***
ORIGIN_GRID_ID1778 16.9842143 0.0117141 1449.897 <2e-16 ***
ORIGIN_GRID_ID1790 17.1928929 0.0054629 3147.199 <2e-16 ***
ORIGIN_GRID_ID1791 16.5539607 0.0070481 2348.700 <2e-16 ***
ORIGIN_GRID_ID1792 16.7870476 0.0072420 2318.027 <2e-16 ***
ORIGIN_GRID_ID1793 14.9716042 0.0159229 940.255 <2e-16 ***
ORIGIN_GRID_ID1794 15.5461081 0.0286329 542.945 <2e-16 ***
ORIGIN_GRID_ID1795 14.2471821 0.0344511 413.547 <2e-16 ***
ORIGIN_GRID_ID1796 17.7159282 0.0046868 3779.964 <2e-16 ***
ORIGIN_GRID_ID1797 17.6575413 0.0042777 4127.799 <2e-16 ***
ORIGIN_GRID_ID1798 17.7840567 0.0042308 4203.443 <2e-16 ***
ORIGIN_GRID_ID1799 16.7422829 0.0078873 2122.691 <2e-16 ***
ORIGIN_GRID_ID1800 15.9362698 0.0265277 600.740 <2e-16 ***
ORIGIN_GRID_ID1811 16.3593570 0.0079832 2049.214 <2e-16 ***
ORIGIN_GRID_ID1812 17.5666234 0.0041097 4274.466 <2e-16 ***
ORIGIN_GRID_ID1813 17.5075438 0.0043319 4041.574 <2e-16 ***
ORIGIN_GRID_ID1817 17.4270349 0.0056062 3108.550 <2e-16 ***
ORIGIN_GRID_ID1818 17.4242568 0.0047780 3646.800 <2e-16 ***
ORIGIN_GRID_ID1819 17.7644451 0.0040688 4366.053 <2e-16 ***
ORIGIN_GRID_ID1820 14.5647792 0.0363780 400.373 <2e-16 ***
ORIGIN_GRID_ID1832 17.0242434 0.0059954 2839.555 <2e-16 ***
ORIGIN_GRID_ID1833 16.5954016 0.0064923 2556.165 <2e-16 ***
ORIGIN_GRID_ID1834 17.1583185 0.0049780 3446.843 <2e-16 ***
ORIGIN_GRID_ID1835 16.5041167 0.0079221 2083.310 <2e-16 ***
ORIGIN_GRID_ID1837 13.8177569 0.0631550 218.791 <2e-16 ***
ORIGIN_GRID_ID1839 16.7130871 0.0076324 2189.747 <2e-16 ***
ORIGIN_GRID_ID1840 18.6368947 0.0031947 5833.621 <2e-16 ***
ORIGIN_GRID_ID1841 13.7668985 0.0459755 299.440 <2e-16 ***
ORIGIN_GRID_ID1842 17.4790411 0.0111617 1565.980 <2e-16 ***
ORIGIN_GRID_ID1853 17.0123885 0.0054216 3137.879 <2e-16 ***
ORIGIN_GRID_ID1854 17.2990224 0.0051625 3350.913 <2e-16 ***
ORIGIN_GRID_ID1855 17.6458332 0.0045743 3857.632 <2e-16 ***
ORIGIN_GRID_ID1858 15.3712350 0.0269869 569.581 <2e-16 ***
ORIGIN_GRID_ID1860 17.8363741 0.0087557 2037.117 <2e-16 ***
ORIGIN_GRID_ID1861 17.6240406 0.0048881 3605.511 <2e-16 ***
ORIGIN_GRID_ID1874 17.1880439 0.0065774 2613.207 <2e-16 ***
ORIGIN_GRID_ID1875 15.6330239 0.0138301 1130.365 <2e-16 ***
ORIGIN_GRID_ID1876 17.5045639 0.0107292 1631.490 <2e-16 ***
ORIGIN_GRID_ID1877 17.2880298 0.0051941 3328.396 <2e-16 ***
ORIGIN_GRID_ID1880 14.1332340 0.0491332 287.651 <2e-16 ***
ORIGIN_GRID_ID1882 17.5396611 0.0052676 3329.697 <2e-16 ***
ORIGIN_GRID_ID1883 17.3394199 0.0090068 1925.138 <2e-16 ***
ORIGIN_GRID_ID1895 17.2595298 0.0052287 3300.915 <2e-16 ***
ORIGIN_GRID_ID1896 15.8360561 0.0102226 1549.118 <2e-16 ***
ORIGIN_GRID_ID1897 16.6364825 0.0094912 1752.831 <2e-16 ***
ORIGIN_GRID_ID1898 12.0167369 0.1507712 79.702 <2e-16 ***
ORIGIN_GRID_ID1901 13.8675994 0.0723917 191.563 <2e-16 ***
ORIGIN_GRID_ID1903 16.8043893 0.0090263 1861.704 <2e-16 ***
ORIGIN_GRID_ID1917 15.9001026 0.0102101 1557.284 <2e-16 ***
ORIGIN_GRID_ID1918 17.7511946 0.0061222 2899.481 <2e-16 ***
ORIGIN_GRID_ID1919 17.2382339 0.0055910 3083.224 <2e-16 ***
ORIGIN_GRID_ID1922 15.2282614 0.0280642 542.622 <2e-16 ***
ORIGIN_GRID_ID1924 16.7412794 0.0097097 1724.188 <2e-16 ***
ORIGIN_GRID_ID1937 16.6541469 0.0074564 2233.535 <2e-16 ***
ORIGIN_GRID_ID1938 17.5247129 0.0048193 3636.363 <2e-16 ***
ORIGIN_GRID_ID1939 18.1237378 0.0043548 4161.808 <2e-16 ***
ORIGIN_GRID_ID1942 14.3352507 0.0461759 310.449 <2e-16 ***
ORIGIN_GRID_ID1959 16.3189815 0.0092444 1765.280 <2e-16 ***
ORIGIN_GRID_ID1960 18.2813100 0.0033553 5448.481 <2e-16 ***
ORIGIN_GRID_ID1961 16.9762357 0.0073812 2299.920 <2e-16 ***
ORIGIN_GRID_ID1962 17.9720015 0.0046967 3826.533 <2e-16 ***
ORIGIN_GRID_ID1964 13.6311012 0.0860908 158.334 <2e-16 ***
ORIGIN_GRID_ID1979 16.6060680 0.0085581 1940.398 <2e-16 ***
ORIGIN_GRID_ID1980 15.1236224 0.0149657 1010.553 <2e-16 ***
ORIGIN_GRID_ID1981 17.6391431 0.0046495 3793.760 <2e-16 ***
ORIGIN_GRID_ID1982 16.4978157 0.0117828 1400.155 <2e-16 ***
ORIGIN_GRID_ID1983 17.9967650 0.0046988 3830.059 <2e-16 ***
ORIGIN_GRID_ID1984 16.6773413 0.0080828 2063.318 <2e-16 ***
ORIGIN_GRID_ID1985 17.2609082 0.0065968 2616.576 <2e-16 ***
ORIGIN_GRID_ID2001 16.9037321 0.0063588 2658.304 <2e-16 ***
ORIGIN_GRID_ID2002 17.6610070 0.0042161 4188.907 <2e-16 ***
ORIGIN_GRID_ID2003 17.2921832 0.0054293 3184.994 <2e-16 ***
ORIGIN_GRID_ID2004 18.0391720 0.0045361 3976.806 <2e-16 ***
ORIGIN_GRID_ID2005 17.9131257 0.0044519 4023.685 <2e-16 ***
ORIGIN_GRID_ID2006 16.4690302 0.0098575 1670.703 <2e-16 ***
ORIGIN_GRID_ID2007 15.8694593 0.0168049 944.337 <2e-16 ***
ORIGIN_GRID_ID2022 17.5005651 0.0063389 2760.819 <2e-16 ***
ORIGIN_GRID_ID2023 17.9120537 0.0040756 4394.975 <2e-16 ***
ORIGIN_GRID_ID2024 17.2628946 0.0052008 3319.261 <2e-16 ***
ORIGIN_GRID_ID2025 17.4735115 0.0049332 3542.004 <2e-16 ***
ORIGIN_GRID_ID2026 16.1347271 0.0120835 1335.270 <2e-16 ***
ORIGIN_GRID_ID2027 18.1212867 0.0043055 4208.873 <2e-16 ***
ORIGIN_GRID_ID2043 16.6879677 0.0081775 2040.723 <2e-16 ***
ORIGIN_GRID_ID2044 17.6077734 0.0046067 3822.178 <2e-16 ***
ORIGIN_GRID_ID2045 13.5550127 0.0785970 172.462 <2e-16 ***
ORIGIN_GRID_ID2046 17.5167404 0.0043095 4064.696 <2e-16 ***
ORIGIN_GRID_ID2047 17.4952075 0.0054914 3185.905 <2e-16 ***
ORIGIN_GRID_ID2048 17.6971579 0.0049189 3597.769 <2e-16 ***
ORIGIN_GRID_ID2049 16.6779509 0.0138852 1201.135 <2e-16 ***
ORIGIN_GRID_ID2064 17.5089886 0.0052749 3319.300 <2e-16 ***
ORIGIN_GRID_ID2065 16.1100340 0.0091160 1767.217 <2e-16 ***
ORIGIN_GRID_ID2066 15.6122904 0.0257041 607.384 <2e-16 ***
ORIGIN_GRID_ID2067 18.6393277 0.0031434 5929.600 <2e-16 ***
ORIGIN_GRID_ID2068 17.6285673 0.0072394 2435.086 <2e-16 ***
ORIGIN_GRID_ID2069 17.5284662 0.0057721 3036.740 <2e-16 ***
ORIGIN_GRID_ID2085 16.2629625 0.0101925 1595.584 <2e-16 ***
ORIGIN_GRID_ID2086 17.8239975 0.0043962 4054.437 <2e-16 ***
ORIGIN_GRID_ID2087 16.5184947 0.0078080 2115.583 <2e-16 ***
ORIGIN_GRID_ID2088 17.2022124 0.0049843 3451.277 <2e-16 ***
ORIGIN_GRID_ID2089 16.9678891 0.0068097 2491.736 <2e-16 ***
ORIGIN_GRID_ID2090 18.1837144 0.0038338 4743.017 <2e-16 ***
ORIGIN_GRID_ID2091 13.8541986 0.0739509 187.343 <2e-16 ***
ORIGIN_GRID_ID2105 14.1836995 0.1147348 123.622 <2e-16 ***
ORIGIN_GRID_ID2106 14.8094041 0.0204125 725.505 <2e-16 ***
ORIGIN_GRID_ID2107 15.8911040 0.0098758 1609.090 <2e-16 ***
ORIGIN_GRID_ID2108 17.1551505 0.0059369 2889.563 <2e-16 ***
ORIGIN_GRID_ID2109 17.4036702 0.0048358 3598.905 <2e-16 ***
ORIGIN_GRID_ID2110 16.9457328 0.0077149 2196.486 <2e-16 ***
ORIGIN_GRID_ID2111 14.5146680 0.0497917 291.508 <2e-16 ***
ORIGIN_GRID_ID2128 15.6875307 0.0152392 1029.417 <2e-16 ***
ORIGIN_GRID_ID2129 15.1939133 0.0163654 928.417 <2e-16 ***
ORIGIN_GRID_ID2130 17.6909429 0.0042216 4190.556 <2e-16 ***
ORIGIN_GRID_ID2131 17.9787007 0.0047572 3779.237 <2e-16 ***
ORIGIN_GRID_ID2132 17.1393335 0.0064317 2664.806 <2e-16 ***
ORIGIN_GRID_ID2148 16.4900128 0.0121730 1354.634 <2e-16 ***
ORIGIN_GRID_ID2149 15.1910551 0.0168166 903.337 <2e-16 ***
ORIGIN_GRID_ID2150 17.6075112 0.0049033 3590.972 <2e-16 ***
ORIGIN_GRID_ID2151 18.0764428 0.0038146 4738.728 <2e-16 ***
ORIGIN_GRID_ID2152 18.2028336 0.0041284 4409.176 <2e-16 ***
ORIGIN_GRID_ID2153 17.7002165 0.0057861 3059.067 <2e-16 ***
ORIGIN_GRID_ID2171 16.5764532 0.0076393 2169.900 <2e-16 ***
ORIGIN_GRID_ID2172 16.8376546 0.0082359 2044.410 <2e-16 ***
ORIGIN_GRID_ID2173 17.2339123 0.0054662 3152.841 <2e-16 ***
ORIGIN_GRID_ID2174 17.6036334 0.0055345 3180.684 <2e-16 ***
ORIGIN_GRID_ID2191 16.4817855 0.0107567 1532.235 <2e-16 ***
ORIGIN_GRID_ID2192 15.9824019 0.0118005 1354.383 <2e-16 ***
ORIGIN_GRID_ID2193 17.0847148 0.0063657 2683.878 <2e-16 ***
ORIGIN_GRID_ID2194 17.3929328 0.0054780 3175.039 <2e-16 ***
ORIGIN_GRID_ID2195 16.7117183 0.0221846 753.301 <2e-16 ***
ORIGIN_GRID_ID2212 13.8702951 0.1037198 133.728 <2e-16 ***
ORIGIN_GRID_ID2213 13.6220699 0.0447684 304.279 <2e-16 ***
ORIGIN_GRID_ID2214 15.0942791 0.0279081 540.857 <2e-16 ***
ORIGIN_GRID_ID2215 17.0419116 0.0072144 2362.196 <2e-16 ***
ORIGIN_GRID_ID2216 16.2013786 0.0113903 1422.382 <2e-16 ***
ORIGIN_GRID_ID2233 13.9021489 0.0494285 281.258 <2e-16 ***
ORIGIN_GRID_ID2234 16.4796078 0.0205518 801.858 <2e-16 ***
ORIGIN_GRID_ID2235 15.9603573 0.0138969 1148.485 <2e-16 ***
ORIGIN_GRID_ID2236 16.0356448 0.0132192 1213.060 <2e-16 ***
ORIGIN_GRID_ID2237 13.6923845 0.0618135 221.511 <2e-16 ***
ORIGIN_GRID_ID2256 14.4848644 0.0444171 326.110 <2e-16 ***
ORIGIN_GRID_ID2257 15.5467066 0.0204216 761.288 <2e-16 ***
ORIGIN_GRID_ID2258 15.2526048 0.0167386 911.224 <2e-16 ***
ORIGIN_GRID_ID2259 14.7932003 0.0397070 372.559 <2e-16 ***
ORIGIN_GRID_ID2277 15.3732724 0.0382693 401.713 <2e-16 ***
ORIGIN_GRID_ID2278 15.9828275 0.0163361 978.377 <2e-16 ***
ORIGIN_GRID_ID2279 15.1474458 0.0206664 732.949 <2e-16 ***
ORIGIN_GRID_ID2280 12.8237993 0.1336462 95.953 <2e-16 ***
ORIGIN_GRID_ID2297 17.3566597 0.0100231 1731.662 <2e-16 ***
ORIGIN_GRID_ID2300 13.5305167 0.0698763 193.635 <2e-16 ***
ORIGIN_GRID_ID2301 15.2413672 0.0201743 755.483 <2e-16 ***
ORIGIN_GRID_ID2318 15.7544839 0.0198843 792.306 <2e-16 ***
ORIGIN_GRID_ID2319 16.6478758 0.0114592 1452.790 <2e-16 ***
ORIGIN_GRID_ID2322 16.3302751 0.0129798 1258.131 <2e-16 ***
ORIGIN_GRID_ID2337 17.4635456 0.0156584 1115.284 <2e-16 ***
ORIGIN_GRID_ID2341 16.9025202 0.0105901 1596.072 <2e-16 ***
ORIGIN_GRID_ID2343 16.0182923 0.0148229 1080.647 <2e-16 ***
ORIGIN_GRID_ID2361 16.7230341 0.0128928 1297.084 <2e-16 ***
ORIGIN_GRID_ID2364 13.1269853 0.0958085 137.013 <2e-16 ***
ORIGIN_GRID_ID2379 17.1982695 0.0168270 1022.061 <2e-16 ***
ORIGIN_GRID_ID2384 16.3012039 0.0175054 931.212 <2e-16 ***
ORIGIN_GRID_ID2405 15.9136476 0.0183564 866.928 <2e-16 ***
ORIGIN_GRID_ID2406 14.6313557 0.0399337 366.391 <2e-16 ***
ORIGIN_GRID_ID2426 16.2648375 0.0332916 488.557 <2e-16 ***
ORIGIN_GRID_ID2427 17.1787551 0.0116163 1478.848 <2e-16 ***
ORIGIN_GRID_ID2505 16.7069445 0.0460461 362.831 <2e-16 ***
log(DESTIN_TRAIN_EXIT_CT) 0.4921565 0.0004412 1115.538 <2e-16 ***
log(DESTIN_PRESCHOOL_CT) 0.0068710 0.0003498 19.644 <2e-16 ***
log(DESTIN_BUSINESS_CT) 0.0698660 0.0002004 348.631 <2e-16 ***
log(DESTIN_FINSERV_CT) 0.2382405 0.0002998 794.610 <2e-16 ***
log(DESTIN_SCH_CT) 0.2931763 0.0007345 399.161 <2e-16 ***
log(dist) -1.5064196 0.0002911 -5174.065 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 276215117 on 62120 degrees of freedom
Residual deviance: 30486339 on 61297 degrees of freedom
AIC: 30823357
Number of Fisher Scoring iterations: 7Destination Constrained SIM output
The R-squared value of 0.37 tells us that the explanatory variables are able to explain 37% of the variance in the TRIPS target variable.
All the coefficients are statistically significant (refer to next tab).
The most influential explanatory variables are distance, origin 5 room count and origin exec count count with coefficients of -1.42, 0.09 and 0.05 respectively.
Call:
glm(formula = TRIPS ~ DESTIN_GRID_ID + log(ORIGIN_RENTAL_CT) +
log(ORIGIN_2ROOM_CT) + log(ORIGIN_3ROOM_CT) + log(ORIGIN_4ROOM_CT) +
log(ORIGIN_5ROOM_CT) + log(ORIGIN_EXEC_CT) + log(ORIGIN_STUDIO_CT) +
log(dist) - 1, family = poisson(link = "log"), data = flow_data1,
na.action = na.exclude)
Deviance Residuals:
Min 1Q Median 3Q Max
-368.49 -11.54 -5.22 0.82 606.37
Coefficients:
Estimate Std. Error z value Pr(>|z|)
DESTIN_GRID_ID23 1.608e+01 5.527e-02 290.97 <2e-16 ***
DESTIN_GRID_ID44 1.733e+01 2.344e-02 739.64 <2e-16 ***
DESTIN_GRID_ID46 1.641e+01 2.050e-02 800.51 <2e-16 ***
DESTIN_GRID_ID66 1.548e+01 4.879e-02 317.39 <2e-16 ***
DESTIN_GRID_ID67 1.637e+01 1.448e-02 1130.40 <2e-16 ***
DESTIN_GRID_ID68 1.655e+01 2.054e-02 805.40 <2e-16 ***
DESTIN_GRID_ID86 1.648e+01 3.644e-02 452.23 <2e-16 ***
DESTIN_GRID_ID87 1.423e+01 8.773e-02 162.19 <2e-16 ***
DESTIN_GRID_ID88 1.597e+01 1.828e-02 873.41 <2e-16 ***
DESTIN_GRID_ID89 1.629e+01 2.104e-02 774.13 <2e-16 ***
DESTIN_GRID_ID90 1.183e+01 7.071e-01 16.73 <2e-16 ***
DESTIN_GRID_ID109 1.612e+01 2.498e-02 645.35 <2e-16 ***
DESTIN_GRID_ID110 1.257e+01 1.179e-01 106.61 <2e-16 ***
DESTIN_GRID_ID111 1.646e+01 1.276e-02 1289.94 <2e-16 ***
DESTIN_GRID_ID112 1.446e+01 3.362e-02 430.12 <2e-16 ***
DESTIN_GRID_ID128 1.612e+01 2.522e-02 639.18 <2e-16 ***
DESTIN_GRID_ID129 1.319e+01 1.374e-01 95.98 <2e-16 ***
DESTIN_GRID_ID130 1.554e+01 2.343e-02 663.07 <2e-16 ***
DESTIN_GRID_ID131 1.509e+01 2.252e-02 670.26 <2e-16 ***
DESTIN_GRID_ID132 1.634e+01 1.541e-02 1060.16 <2e-16 ***
DESTIN_GRID_ID133 1.599e+01 1.291e-02 1238.80 <2e-16 ***
DESTIN_GRID_ID134 1.616e+01 1.208e-02 1337.68 <2e-16 ***
DESTIN_GRID_ID150 1.579e+01 2.640e-02 598.04 <2e-16 ***
DESTIN_GRID_ID151 1.537e+01 2.297e-02 668.91 <2e-16 ***
DESTIN_GRID_ID152 1.683e+01 1.461e-02 1152.16 <2e-16 ***
DESTIN_GRID_ID153 1.660e+01 1.356e-02 1224.33 <2e-16 ***
DESTIN_GRID_ID154 1.469e+01 2.834e-02 518.50 <2e-16 ***
DESTIN_GRID_ID155 1.530e+01 1.987e-02 770.14 <2e-16 ***
DESTIN_GRID_ID156 1.608e+01 2.114e-02 760.60 <2e-16 ***
DESTIN_GRID_ID172 1.447e+01 4.499e-02 321.61 <2e-16 ***
DESTIN_GRID_ID174 1.606e+01 1.505e-02 1066.74 <2e-16 ***
DESTIN_GRID_ID175 1.602e+01 1.118e-02 1433.53 <2e-16 ***
DESTIN_GRID_ID176 1.450e+01 2.781e-02 521.50 <2e-16 ***
DESTIN_GRID_ID195 1.552e+01 3.065e-02 506.41 <2e-16 ***
DESTIN_GRID_ID196 1.620e+01 1.041e-02 1556.19 <2e-16 ***
DESTIN_GRID_ID197 1.322e+01 7.718e-02 171.25 <2e-16 ***
DESTIN_GRID_ID215 1.615e+01 2.993e-02 539.67 <2e-16 ***
DESTIN_GRID_ID216 1.543e+01 1.612e-02 957.03 <2e-16 ***
DESTIN_GRID_ID217 1.678e+01 9.446e-03 1776.31 <2e-16 ***
DESTIN_GRID_ID237 1.579e+01 3.064e-02 515.51 <2e-16 ***
DESTIN_GRID_ID238 1.606e+01 1.521e-02 1055.83 <2e-16 ***
DESTIN_GRID_ID239 1.525e+01 3.143e-02 485.10 <2e-16 ***
DESTIN_GRID_ID257 1.618e+01 1.567e-02 1033.00 <2e-16 ***
DESTIN_GRID_ID258 1.544e+01 1.933e-02 798.83 <2e-16 ***
DESTIN_GRID_ID259 1.660e+01 1.213e-02 1369.26 <2e-16 ***
DESTIN_GRID_ID278 1.644e+01 1.402e-02 1172.84 <2e-16 ***
DESTIN_GRID_ID279 1.620e+01 1.345e-02 1204.42 <2e-16 ***
DESTIN_GRID_ID280 1.644e+01 1.265e-02 1299.58 <2e-16 ***
DESTIN_GRID_ID298 1.307e+01 1.508e-01 86.66 <2e-16 ***
DESTIN_GRID_ID299 1.665e+01 1.640e-02 1015.01 <2e-16 ***
DESTIN_GRID_ID300 1.532e+01 1.725e-02 888.33 <2e-16 ***
DESTIN_GRID_ID320 1.714e+01 1.397e-02 1227.13 <2e-16 ***
DESTIN_GRID_ID321 1.554e+01 2.392e-02 649.59 <2e-16 ***
DESTIN_GRID_ID322 1.746e+01 1.188e-02 1468.97 <2e-16 ***
DESTIN_GRID_ID340 1.761e+01 1.093e-02 1611.99 <2e-16 ***
DESTIN_GRID_ID341 1.647e+01 1.235e-02 1333.00 <2e-16 ***
DESTIN_GRID_ID342 1.702e+01 1.059e-02 1607.09 <2e-16 ***
DESTIN_GRID_ID363 1.673e+01 1.335e-02 1253.90 <2e-16 ***
DESTIN_GRID_ID364 1.784e+01 7.940e-03 2247.53 <2e-16 ***
DESTIN_GRID_ID383 1.681e+01 9.141e-03 1839.29 <2e-16 ***
DESTIN_GRID_ID384 1.737e+01 8.476e-03 2049.74 <2e-16 ***
DESTIN_GRID_ID385 1.681e+01 1.521e-02 1105.32 <2e-16 ***
DESTIN_GRID_ID404 1.746e+01 1.260e-02 1384.95 <2e-16 ***
DESTIN_GRID_ID405 1.716e+01 1.054e-02 1627.94 <2e-16 ***
DESTIN_GRID_ID406 1.664e+01 5.480e-03 3036.46 <2e-16 ***
DESTIN_GRID_ID407 1.684e+01 9.628e-03 1748.59 <2e-16 ***
DESTIN_GRID_ID408 1.773e+01 5.295e-03 3348.41 <2e-16 ***
DESTIN_GRID_ID425 1.520e+01 2.491e-02 610.29 <2e-16 ***
DESTIN_GRID_ID426 1.640e+01 1.035e-02 1585.58 <2e-16 ***
DESTIN_GRID_ID427 1.347e+01 2.652e-02 508.06 <2e-16 ***
DESTIN_GRID_ID428 1.577e+01 1.174e-02 1343.48 <2e-16 ***
DESTIN_GRID_ID429 1.538e+01 2.384e-02 645.10 <2e-16 ***
DESTIN_GRID_ID446 1.613e+01 2.314e-02 696.85 <2e-16 ***
DESTIN_GRID_ID447 1.559e+01 1.720e-02 906.38 <2e-16 ***
DESTIN_GRID_ID448 1.601e+01 1.178e-02 1359.31 <2e-16 ***
DESTIN_GRID_ID449 1.607e+01 7.434e-03 2161.14 <2e-16 ***
DESTIN_GRID_ID450 1.533e+01 1.273e-02 1204.41 <2e-16 ***
DESTIN_GRID_ID468 1.626e+01 1.100e-02 1478.60 <2e-16 ***
DESTIN_GRID_ID469 1.550e+01 8.719e-03 1777.24 <2e-16 ***
DESTIN_GRID_ID470 1.575e+01 7.606e-03 2070.89 <2e-16 ***
DESTIN_GRID_ID471 1.543e+01 1.726e-02 893.61 <2e-16 ***
DESTIN_GRID_ID488 1.554e+01 2.218e-02 700.79 <2e-16 ***
DESTIN_GRID_ID489 1.407e+01 4.805e-02 292.80 <2e-16 ***
DESTIN_GRID_ID490 1.625e+01 8.932e-03 1819.38 <2e-16 ***
DESTIN_GRID_ID491 1.399e+01 1.688e-02 828.78 <2e-16 ***
DESTIN_GRID_ID493 1.333e+01 4.890e-02 272.66 <2e-16 ***
DESTIN_GRID_ID494 1.525e+01 2.319e-02 657.75 <2e-16 ***
DESTIN_GRID_ID509 1.551e+01 1.530e-02 1013.39 <2e-16 ***
DESTIN_GRID_ID510 1.625e+01 1.021e-02 1591.16 <2e-16 ***
DESTIN_GRID_ID511 1.573e+01 7.148e-03 2200.08 <2e-16 ***
DESTIN_GRID_ID512 1.549e+01 7.237e-03 2140.35 <2e-16 ***
DESTIN_GRID_ID513 1.638e+01 8.251e-03 1984.97 <2e-16 ***
DESTIN_GRID_ID514 1.600e+01 1.189e-02 1345.26 <2e-16 ***
DESTIN_GRID_ID515 1.478e+01 3.197e-02 462.31 <2e-16 ***
DESTIN_GRID_ID530 1.519e+01 2.905e-02 522.88 <2e-16 ***
DESTIN_GRID_ID531 1.740e+01 6.210e-03 2802.35 <2e-16 ***
DESTIN_GRID_ID532 1.594e+01 9.110e-03 1750.02 <2e-16 ***
DESTIN_GRID_ID533 1.725e+01 3.538e-03 4874.96 <2e-16 ***
DESTIN_GRID_ID534 1.565e+01 7.268e-03 2153.33 <2e-16 ***
DESTIN_GRID_ID536 1.503e+01 1.835e-02 819.38 <2e-16 ***
DESTIN_GRID_ID537 1.473e+01 3.473e-02 424.26 <2e-16 ***
DESTIN_GRID_ID538 1.417e+01 4.421e-02 320.45 <2e-16 ***
DESTIN_GRID_ID539 1.289e+01 2.673e-01 48.22 <2e-16 ***
DESTIN_GRID_ID551 1.585e+01 1.775e-02 892.62 <2e-16 ***
DESTIN_GRID_ID552 1.761e+01 1.085e-02 1622.93 <2e-16 ***
DESTIN_GRID_ID553 1.540e+01 8.928e-03 1724.58 <2e-16 ***
DESTIN_GRID_ID554 1.537e+01 7.381e-03 2082.97 <2e-16 ***
DESTIN_GRID_ID555 1.632e+01 7.891e-03 2068.01 <2e-16 ***
DESTIN_GRID_ID559 1.459e+01 5.374e-02 271.47 <2e-16 ***
DESTIN_GRID_ID560 1.615e+01 1.684e-02 959.60 <2e-16 ***
DESTIN_GRID_ID561 1.455e+01 6.762e-02 215.23 <2e-16 ***
DESTIN_GRID_ID572 1.580e+01 3.451e-02 457.91 <2e-16 ***
DESTIN_GRID_ID573 1.680e+01 1.041e-02 1614.27 <2e-16 ***
DESTIN_GRID_ID574 1.619e+01 1.581e-02 1024.34 <2e-16 ***
DESTIN_GRID_ID575 1.787e+01 2.812e-03 6352.96 <2e-16 ***
DESTIN_GRID_ID576 1.568e+01 6.713e-03 2336.22 <2e-16 ***
DESTIN_GRID_ID578 1.234e+01 1.072e-01 115.07 <2e-16 ***
DESTIN_GRID_ID582 1.385e+01 6.316e-02 219.22 <2e-16 ***
DESTIN_GRID_ID583 1.275e+01 3.780e-01 33.74 <2e-16 ***
DESTIN_GRID_ID584 1.553e+01 3.615e-02 429.60 <2e-16 ***
DESTIN_GRID_ID593 1.458e+01 2.564e-02 568.63 <2e-16 ***
DESTIN_GRID_ID594 1.604e+01 1.390e-02 1153.86 <2e-16 ***
DESTIN_GRID_ID595 1.642e+01 6.162e-03 2664.51 <2e-16 ***
DESTIN_GRID_ID596 1.586e+01 5.476e-03 2896.44 <2e-16 ***
DESTIN_GRID_ID597 1.536e+01 1.560e-02 984.67 <2e-16 ***
DESTIN_GRID_ID603 1.397e+01 5.275e-02 264.86 <2e-16 ***
DESTIN_GRID_ID604 1.508e+01 5.084e-02 296.68 <2e-16 ***
DESTIN_GRID_ID615 1.505e+01 1.486e-02 1012.99 <2e-16 ***
DESTIN_GRID_ID616 1.596e+01 9.255e-03 1724.35 <2e-16 ***
DESTIN_GRID_ID617 1.499e+01 9.383e-03 1597.93 <2e-16 ***
DESTIN_GRID_ID618 1.541e+01 7.073e-03 2178.25 <2e-16 ***
DESTIN_GRID_ID620 1.611e+01 1.104e-02 1458.69 <2e-16 ***
DESTIN_GRID_ID637 1.559e+01 1.105e-02 1410.44 <2e-16 ***
DESTIN_GRID_ID638 1.548e+01 6.510e-03 2377.23 <2e-16 ***
DESTIN_GRID_ID657 1.643e+01 7.261e-03 2263.22 <2e-16 ***
DESTIN_GRID_ID658 1.585e+01 6.481e-03 2445.62 <2e-16 ***
DESTIN_GRID_ID659 1.580e+01 6.128e-03 2578.67 <2e-16 ***
DESTIN_GRID_ID660 1.619e+01 4.786e-03 3383.56 <2e-16 ***
DESTIN_GRID_ID662 1.591e+01 1.251e-02 1270.97 <2e-16 ***
DESTIN_GRID_ID677 1.646e+01 9.594e-03 1715.24 <2e-16 ***
DESTIN_GRID_ID678 1.475e+01 1.421e-02 1038.13 <2e-16 ***
DESTIN_GRID_ID679 1.608e+01 5.417e-03 2969.00 <2e-16 ***
DESTIN_GRID_ID680 1.767e+01 2.966e-03 5958.32 <2e-16 ***
DESTIN_GRID_ID681 1.400e+01 2.066e-02 677.52 <2e-16 ***
DESTIN_GRID_ID699 1.599e+01 9.247e-03 1729.15 <2e-16 ***
DESTIN_GRID_ID700 1.555e+01 7.576e-03 2052.44 <2e-16 ***
DESTIN_GRID_ID701 1.330e+01 2.321e-02 572.93 <2e-16 ***
DESTIN_GRID_ID702 1.591e+01 5.358e-03 2968.75 <2e-16 ***
DESTIN_GRID_ID704 1.594e+01 1.113e-02 1432.17 <2e-16 ***
DESTIN_GRID_ID722 1.542e+01 9.155e-03 1684.74 <2e-16 ***
DESTIN_GRID_ID725 1.385e+01 2.769e-02 500.03 <2e-16 ***
DESTIN_GRID_ID741 1.647e+01 7.441e-03 2213.88 <2e-16 ***
DESTIN_GRID_ID743 1.305e+01 2.483e-02 525.72 <2e-16 ***
DESTIN_GRID_ID744 1.599e+01 5.447e-03 2935.39 <2e-16 ***
DESTIN_GRID_ID761 1.667e+01 8.547e-03 1950.85 <2e-16 ***
DESTIN_GRID_ID762 1.475e+01 1.430e-02 1031.80 <2e-16 ***
DESTIN_GRID_ID763 1.332e+01 2.229e-02 597.48 <2e-16 ***
DESTIN_GRID_ID764 1.639e+01 4.195e-03 3907.28 <2e-16 ***
DESTIN_GRID_ID765 1.587e+01 9.864e-03 1608.60 <2e-16 ***
DESTIN_GRID_ID767 1.587e+01 7.312e-03 2170.23 <2e-16 ***
DESTIN_GRID_ID772 1.463e+01 4.116e-02 355.33 <2e-16 ***
DESTIN_GRID_ID784 1.363e+01 2.306e-02 590.90 <2e-16 ***
DESTIN_GRID_ID785 1.550e+01 6.134e-03 2526.43 <2e-16 ***
DESTIN_GRID_ID786 1.582e+01 5.348e-03 2957.77 <2e-16 ***
DESTIN_GRID_ID787 1.527e+01 1.125e-02 1357.87 <2e-16 ***
DESTIN_GRID_ID788 1.405e+01 1.719e-02 817.29 <2e-16 ***
DESTIN_GRID_ID789 1.423e+01 1.879e-02 757.73 <2e-16 ***
DESTIN_GRID_ID803 1.560e+01 1.419e-02 1099.62 <2e-16 ***
DESTIN_GRID_ID804 1.602e+01 6.736e-03 2378.16 <2e-16 ***
DESTIN_GRID_ID805 1.704e+01 3.472e-03 4908.97 <2e-16 ***
DESTIN_GRID_ID806 1.546e+01 6.220e-03 2486.23 <2e-16 ***
DESTIN_GRID_ID807 1.562e+01 7.650e-03 2042.32 <2e-16 ***
DESTIN_GRID_ID808 1.432e+01 1.813e-02 789.96 <2e-16 ***
DESTIN_GRID_ID809 1.581e+01 5.734e-03 2756.41 <2e-16 ***
DESTIN_GRID_ID810 1.562e+01 8.579e-03 1821.07 <2e-16 ***
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DESTIN_GRID_ID1333 1.414e+01 1.742e-02 811.58 <2e-16 ***
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DESTIN_GRID_ID1335 1.667e+01 6.100e-03 2733.34 <2e-16 ***
DESTIN_GRID_ID1336 1.343e+01 4.845e-02 277.13 <2e-16 ***
DESTIN_GRID_ID1337 1.293e+01 3.513e-02 368.20 <2e-16 ***
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DESTIN_GRID_ID1339 1.653e+01 4.563e-03 3621.74 <2e-16 ***
DESTIN_GRID_ID1340 1.497e+01 1.073e-02 1395.42 <2e-16 ***
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DESTIN_GRID_ID1347 1.659e+01 4.386e-03 3782.18 <2e-16 ***
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DESTIN_GRID_ID1350 1.527e+01 1.425e-02 1071.75 <2e-16 ***
DESTIN_GRID_ID1353 1.541e+01 7.798e-03 1976.60 <2e-16 ***
DESTIN_GRID_ID1354 1.488e+01 1.051e-02 1416.51 <2e-16 ***
DESTIN_GRID_ID1355 1.469e+01 1.226e-02 1198.18 <2e-16 ***
DESTIN_GRID_ID1357 1.427e+01 1.976e-02 721.93 <2e-16 ***
DESTIN_GRID_ID1358 1.662e+01 4.404e-03 3773.11 <2e-16 ***
DESTIN_GRID_ID1359 1.570e+01 6.711e-03 2338.98 <2e-16 ***
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DESTIN_GRID_ID1361 1.525e+01 1.027e-02 1484.71 <2e-16 ***
DESTIN_GRID_ID1362 1.412e+01 2.831e-02 498.83 <2e-16 ***
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DESTIN_GRID_ID1373 1.268e+01 3.679e-02 344.67 <2e-16 ***
DESTIN_GRID_ID1374 1.386e+01 1.614e-02 858.41 <2e-16 ***
DESTIN_GRID_ID1375 1.572e+01 8.086e-03 1944.41 <2e-16 ***
DESTIN_GRID_ID1376 1.424e+01 1.717e-02 829.62 <2e-16 ***
DESTIN_GRID_ID1379 1.152e+01 7.764e-02 148.36 <2e-16 ***
DESTIN_GRID_ID1380 1.723e+01 3.301e-03 5218.74 <2e-16 ***
DESTIN_GRID_ID1381 1.763e+01 2.981e-03 5914.70 <2e-16 ***
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DESTIN_GRID_ID1383 1.432e+01 1.984e-02 721.67 <2e-16 ***
DESTIN_GRID_ID1388 1.531e+01 7.554e-03 2026.32 <2e-16 ***
DESTIN_GRID_ID1389 1.505e+01 8.393e-03 1792.71 <2e-16 ***
DESTIN_GRID_ID1390 1.547e+01 7.659e-03 2019.94 <2e-16 ***
DESTIN_GRID_ID1391 1.649e+01 5.537e-03 2978.58 <2e-16 ***
DESTIN_GRID_ID1392 1.651e+01 1.169e-02 1413.19 <2e-16 ***
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DESTIN_GRID_ID1402 1.586e+01 5.947e-03 2666.54 <2e-16 ***
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DESTIN_GRID_ID1649 1.602e+01 4.719e-03 3394.74 <2e-16 ***
DESTIN_GRID_ID1650 1.527e+01 7.987e-03 1911.54 <2e-16 ***
DESTIN_GRID_ID1664 1.177e+01 1.313e-01 89.65 <2e-16 ***
DESTIN_GRID_ID1665 1.612e+01 4.651e-03 3466.47 <2e-16 ***
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DESTIN_GRID_ID1757 1.416e+01 2.292e-02 617.56 <2e-16 ***
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DESTIN_GRID_ID1771 1.610e+01 5.579e-03 2885.20 <2e-16 ***
DESTIN_GRID_ID1772 1.702e+01 7.209e-03 2361.48 <2e-16 ***
DESTIN_GRID_ID1774 1.512e+01 7.475e-03 2022.90 <2e-16 ***
DESTIN_GRID_ID1775 1.472e+01 8.270e-03 1780.32 <2e-16 ***
DESTIN_GRID_ID1776 1.694e+01 3.239e-03 5229.94 <2e-16 ***
DESTIN_GRID_ID1777 1.521e+01 7.646e-03 1989.57 <2e-16 ***
DESTIN_GRID_ID1778 1.439e+01 2.277e-02 632.10 <2e-16 ***
DESTIN_GRID_ID1790 1.625e+01 5.811e-03 2796.50 <2e-16 ***
DESTIN_GRID_ID1791 1.560e+01 7.014e-03 2223.67 <2e-16 ***
DESTIN_GRID_ID1792 1.579e+01 7.575e-03 2084.92 <2e-16 ***
DESTIN_GRID_ID1793 1.577e+01 6.268e-03 2515.80 <2e-16 ***
DESTIN_GRID_ID1794 1.730e+01 7.604e-03 2274.67 <2e-16 ***
DESTIN_GRID_ID1795 1.354e+01 2.150e-02 629.90 <2e-16 ***
DESTIN_GRID_ID1796 1.573e+01 5.700e-03 2759.73 <2e-16 ***
DESTIN_GRID_ID1797 1.539e+01 5.951e-03 2585.96 <2e-16 ***
DESTIN_GRID_ID1798 1.573e+01 5.610e-03 2804.83 <2e-16 ***
DESTIN_GRID_ID1799 1.496e+01 9.334e-03 1602.60 <2e-16 ***
DESTIN_GRID_ID1800 1.293e+01 6.472e-02 199.82 <2e-16 ***
DESTIN_GRID_ID1811 1.542e+01 8.936e-03 1725.62 <2e-16 ***
DESTIN_GRID_ID1812 1.653e+01 3.956e-03 4179.97 <2e-16 ***
DESTIN_GRID_ID1813 1.673e+01 3.752e-03 4460.46 <2e-16 ***
DESTIN_GRID_ID1817 1.399e+01 1.411e-02 991.04 <2e-16 ***
DESTIN_GRID_ID1818 1.534e+01 6.152e-03 2493.46 <2e-16 ***
DESTIN_GRID_ID1819 1.702e+01 3.274e-03 5197.42 <2e-16 ***
DESTIN_GRID_ID1820 1.281e+01 5.042e-02 254.00 <2e-16 ***
DESTIN_GRID_ID1832 1.659e+01 5.090e-03 3258.64 <2e-16 ***
DESTIN_GRID_ID1833 1.521e+01 7.814e-03 1947.18 <2e-16 ***
DESTIN_GRID_ID1834 1.514e+01 7.244e-03 2090.18 <2e-16 ***
DESTIN_GRID_ID1835 1.525e+01 8.005e-03 1904.82 <2e-16 ***
DESTIN_GRID_ID1837 1.527e+01 1.421e-02 1074.38 <2e-16 ***
DESTIN_GRID_ID1839 1.409e+01 1.382e-02 1019.69 <2e-16 ***
DESTIN_GRID_ID1840 1.684e+01 3.615e-03 4658.72 <2e-16 ***
DESTIN_GRID_ID1841 1.354e+01 2.815e-02 481.08 <2e-16 ***
DESTIN_GRID_ID1842 1.506e+01 1.635e-02 921.32 <2e-16 ***
DESTIN_GRID_ID1853 1.577e+01 6.269e-03 2515.90 <2e-16 ***
DESTIN_GRID_ID1854 1.592e+01 5.658e-03 2813.58 <2e-16 ***
DESTIN_GRID_ID1855 1.616e+01 5.023e-03 3215.94 <2e-16 ***
DESTIN_GRID_ID1858 1.629e+01 8.549e-03 1905.80 <2e-16 ***
DESTIN_GRID_ID1860 1.465e+01 2.211e-02 662.83 <2e-16 ***
DESTIN_GRID_ID1861 1.571e+01 6.238e-03 2518.04 <2e-16 ***
DESTIN_GRID_ID1874 1.543e+01 1.072e-02 1439.44 <2e-16 ***
DESTIN_GRID_ID1875 1.367e+01 2.393e-02 571.42 <2e-16 ***
DESTIN_GRID_ID1876 1.509e+01 2.466e-02 611.79 <2e-16 ***
DESTIN_GRID_ID1877 1.593e+01 5.424e-03 2936.74 <2e-16 ***
DESTIN_GRID_ID1880 1.541e+01 1.418e-02 1087.04 <2e-16 ***
DESTIN_GRID_ID1882 1.555e+01 6.782e-03 2293.51 <2e-16 ***
DESTIN_GRID_ID1883 1.434e+01 2.159e-02 664.23 <2e-16 ***
DESTIN_GRID_ID1895 1.622e+01 5.502e-03 2948.90 <2e-16 ***
DESTIN_GRID_ID1896 1.517e+01 8.239e-03 1841.40 <2e-16 ***
DESTIN_GRID_ID1897 1.435e+01 1.318e-02 1089.27 <2e-16 ***
DESTIN_GRID_ID1898 1.405e+01 2.562e-02 548.22 <2e-16 ***
DESTIN_GRID_ID1901 1.483e+01 2.049e-02 723.52 <2e-16 ***
DESTIN_GRID_ID1903 1.406e+01 1.924e-02 730.84 <2e-16 ***
DESTIN_GRID_ID1917 1.505e+01 9.994e-03 1505.45 <2e-16 ***
DESTIN_GRID_ID1918 1.630e+01 6.991e-03 2331.62 <2e-16 ***
DESTIN_GRID_ID1919 1.615e+01 5.136e-03 3143.39 <2e-16 ***
DESTIN_GRID_ID1922 1.596e+01 1.076e-02 1483.32 <2e-16 ***
DESTIN_GRID_ID1924 1.364e+01 2.390e-02 570.70 <2e-16 ***
DESTIN_GRID_ID1937 1.561e+01 8.089e-03 1930.16 <2e-16 ***
DESTIN_GRID_ID1938 1.631e+01 4.971e-03 3281.27 <2e-16 ***
DESTIN_GRID_ID1939 1.503e+01 9.521e-03 1578.34 <2e-16 ***
DESTIN_GRID_ID1942 1.482e+01 1.917e-02 772.79 <2e-16 ***
DESTIN_GRID_ID1959 1.511e+01 1.044e-02 1447.63 <2e-16 ***
DESTIN_GRID_ID1960 1.734e+01 3.044e-03 5695.76 <2e-16 ***
DESTIN_GRID_ID1961 1.484e+01 1.033e-02 1436.70 <2e-16 ***
DESTIN_GRID_ID1962 1.567e+01 6.471e-03 2422.33 <2e-16 ***
DESTIN_GRID_ID1964 1.653e+01 1.132e-02 1460.41 <2e-16 ***
DESTIN_GRID_ID1979 1.560e+01 8.717e-03 1790.08 <2e-16 ***
DESTIN_GRID_ID1980 1.546e+01 7.282e-03 2123.06 <2e-16 ***
DESTIN_GRID_ID1981 1.536e+01 7.710e-03 1992.09 <2e-16 ***
DESTIN_GRID_ID1982 1.567e+01 8.177e-03 1915.82 <2e-16 ***
DESTIN_GRID_ID1983 1.563e+01 6.575e-03 2376.51 <2e-16 ***
DESTIN_GRID_ID1984 1.569e+01 6.483e-03 2419.50 <2e-16 ***
DESTIN_GRID_ID1985 1.591e+01 6.147e-03 2588.16 <2e-16 ***
DESTIN_GRID_ID2001 1.550e+01 7.177e-03 2159.87 <2e-16 ***
DESTIN_GRID_ID2002 1.557e+01 5.844e-03 2664.66 <2e-16 ***
DESTIN_GRID_ID2003 1.611e+01 4.855e-03 3318.92 <2e-16 ***
DESTIN_GRID_ID2004 1.639e+01 4.679e-03 3503.25 <2e-16 ***
DESTIN_GRID_ID2005 1.536e+01 7.026e-03 2186.77 <2e-16 ***
DESTIN_GRID_ID2006 1.643e+01 5.021e-03 3272.94 <2e-16 ***
DESTIN_GRID_ID2007 1.317e+01 3.310e-02 397.94 <2e-16 ***
DESTIN_GRID_ID2022 1.616e+01 7.070e-03 2286.07 <2e-16 ***
DESTIN_GRID_ID2023 1.604e+01 5.158e-03 3110.68 <2e-16 ***
DESTIN_GRID_ID2024 1.631e+01 4.358e-03 3742.95 <2e-16 ***
DESTIN_GRID_ID2025 1.510e+01 7.350e-03 2054.84 <2e-16 ***
DESTIN_GRID_ID2026 1.435e+01 1.287e-02 1115.40 <2e-16 ***
DESTIN_GRID_ID2027 1.639e+01 4.749e-03 3450.27 <2e-16 ***
DESTIN_GRID_ID2043 1.459e+01 1.264e-02 1154.09 <2e-16 ***
DESTIN_GRID_ID2044 1.558e+01 6.450e-03 2415.90 <2e-16 ***
DESTIN_GRID_ID2045 1.482e+01 1.249e-02 1186.70 <2e-16 ***
DESTIN_GRID_ID2046 1.629e+01 4.134e-03 3940.53 <2e-16 ***
DESTIN_GRID_ID2047 1.445e+01 1.039e-02 1390.80 <2e-16 ***
DESTIN_GRID_ID2048 1.475e+01 9.533e-03 1547.31 <2e-16 ***
DESTIN_GRID_ID2049 1.316e+01 3.038e-02 433.11 <2e-16 ***
DESTIN_GRID_ID2064 1.548e+01 7.661e-03 2020.39 <2e-16 ***
DESTIN_GRID_ID2065 1.539e+01 7.615e-03 2021.24 <2e-16 ***
DESTIN_GRID_ID2066 1.291e+01 3.802e-02 339.61 <2e-16 ***
DESTIN_GRID_ID2067 1.764e+01 2.754e-03 6402.60 <2e-16 ***
DESTIN_GRID_ID2068 1.445e+01 1.541e-02 937.63 <2e-16 ***
DESTIN_GRID_ID2069 1.497e+01 9.460e-03 1582.67 <2e-16 ***
DESTIN_GRID_ID2085 1.562e+01 7.808e-03 2000.44 <2e-16 ***
DESTIN_GRID_ID2086 1.679e+01 4.152e-03 4043.86 <2e-16 ***
DESTIN_GRID_ID2087 1.646e+01 4.420e-03 3724.47 <2e-16 ***
DESTIN_GRID_ID2088 1.533e+01 6.254e-03 2451.78 <2e-16 ***
DESTIN_GRID_ID2089 1.496e+01 9.516e-03 1572.31 <2e-16 ***
DESTIN_GRID_ID2090 1.743e+01 3.089e-03 5642.30 <2e-16 ***
DESTIN_GRID_ID2091 1.245e+01 7.110e-02 175.05 <2e-16 ***
DESTIN_GRID_ID2105 1.535e+01 6.656e-02 230.54 <2e-16 ***
DESTIN_GRID_ID2106 1.415e+01 1.579e-02 896.07 <2e-16 ***
DESTIN_GRID_ID2107 1.672e+01 4.223e-03 3959.24 <2e-16 ***
DESTIN_GRID_ID2108 1.631e+01 5.110e-03 3191.99 <2e-16 ***
DESTIN_GRID_ID2109 1.496e+01 7.426e-03 2014.55 <2e-16 ***
DESTIN_GRID_ID2110 1.452e+01 1.266e-02 1147.17 <2e-16 ***
DESTIN_GRID_ID2111 1.344e+01 3.624e-02 371.02 <2e-16 ***
DESTIN_GRID_ID2128 1.605e+01 8.678e-03 1850.01 <2e-16 ***
DESTIN_GRID_ID2129 1.541e+01 1.119e-02 1376.60 <2e-16 ***
DESTIN_GRID_ID2130 1.540e+01 6.068e-03 2536.99 <2e-16 ***
DESTIN_GRID_ID2131 1.536e+01 7.884e-03 1948.12 <2e-16 ***
DESTIN_GRID_ID2132 1.511e+01 8.576e-03 1762.08 <2e-16 ***
DESTIN_GRID_ID2148 1.494e+01 1.696e-02 880.95 <2e-16 ***
DESTIN_GRID_ID2149 1.499e+01 1.174e-02 1277.65 <2e-16 ***
DESTIN_GRID_ID2150 1.501e+01 9.550e-03 1571.18 <2e-16 ***
DESTIN_GRID_ID2151 1.681e+01 3.509e-03 4790.99 <2e-16 ***
DESTIN_GRID_ID2152 1.580e+01 5.821e-03 2714.36 <2e-16 ***
DESTIN_GRID_ID2153 1.464e+01 1.255e-02 1166.85 <2e-16 ***
DESTIN_GRID_ID2171 1.598e+01 6.189e-03 2581.65 <2e-16 ***
DESTIN_GRID_ID2172 1.438e+01 1.230e-02 1169.25 <2e-16 ***
DESTIN_GRID_ID2173 1.495e+01 7.998e-03 1869.29 <2e-16 ***
DESTIN_GRID_ID2174 1.572e+01 7.001e-03 2244.77 <2e-16 ***
DESTIN_GRID_ID2191 1.621e+01 8.569e-03 1891.78 <2e-16 ***
DESTIN_GRID_ID2192 1.501e+01 1.165e-02 1288.13 <2e-16 ***
DESTIN_GRID_ID2193 1.568e+01 6.771e-03 2315.28 <2e-16 ***
DESTIN_GRID_ID2194 1.568e+01 6.251e-03 2508.25 <2e-16 ***
DESTIN_GRID_ID2195 1.427e+01 4.116e-02 346.83 <2e-16 ***
DESTIN_GRID_ID2212 1.702e+01 1.408e-02 1209.53 <2e-16 ***
DESTIN_GRID_ID2213 1.598e+01 9.250e-03 1727.32 <2e-16 ***
DESTIN_GRID_ID2214 1.688e+01 7.265e-03 2323.38 <2e-16 ***
DESTIN_GRID_ID2215 1.489e+01 1.045e-02 1425.06 <2e-16 ***
DESTIN_GRID_ID2216 1.593e+01 6.390e-03 2492.81 <2e-16 ***
DESTIN_GRID_ID2233 1.676e+01 1.028e-02 1630.75 <2e-16 ***
DESTIN_GRID_ID2234 1.716e+01 8.506e-03 2017.91 <2e-16 ***
DESTIN_GRID_ID2235 1.599e+01 9.513e-03 1680.33 <2e-16 ***
DESTIN_GRID_ID2236 1.446e+01 1.420e-02 1018.71 <2e-16 ***
DESTIN_GRID_ID2237 1.592e+01 1.171e-02 1359.40 <2e-16 ***
DESTIN_GRID_ID2256 1.623e+01 1.275e-02 1272.99 <2e-16 ***
DESTIN_GRID_ID2257 1.360e+01 2.944e-02 461.93 <2e-16 ***
DESTIN_GRID_ID2258 1.566e+01 7.661e-03 2043.95 <2e-16 ***
DESTIN_GRID_ID2259 1.672e+01 1.061e-02 1576.12 <2e-16 ***
DESTIN_GRID_ID2277 1.517e+01 2.654e-02 571.59 <2e-16 ***
DESTIN_GRID_ID2278 1.498e+01 1.753e-02 854.93 <2e-16 ***
DESTIN_GRID_ID2279 1.574e+01 7.861e-03 2001.82 <2e-16 ***
DESTIN_GRID_ID2280 1.434e+01 3.439e-02 416.93 <2e-16 ***
DESTIN_GRID_ID2297 1.473e+01 2.098e-02 701.96 <2e-16 ***
DESTIN_GRID_ID2300 1.483e+01 2.102e-02 705.80 <2e-16 ***
DESTIN_GRID_ID2301 1.541e+01 1.032e-02 1493.80 <2e-16 ***
DESTIN_GRID_ID2318 1.709e+01 6.183e-03 2764.99 <2e-16 ***
DESTIN_GRID_ID2319 1.706e+01 5.845e-03 2918.79 <2e-16 ***
DESTIN_GRID_ID2322 1.567e+01 1.031e-02 1518.89 <2e-16 ***
DESTIN_GRID_ID2337 1.670e+01 1.732e-02 964.31 <2e-16 ***
DESTIN_GRID_ID2341 1.723e+01 5.867e-03 2937.51 <2e-16 ***
DESTIN_GRID_ID2343 1.490e+01 1.443e-02 1032.59 <2e-16 ***
DESTIN_GRID_ID2361 1.603e+01 1.007e-02 1592.20 <2e-16 ***
DESTIN_GRID_ID2364 1.359e+01 3.639e-02 373.52 <2e-16 ***
DESTIN_GRID_ID2379 1.594e+01 2.599e-02 613.15 <2e-16 ***
DESTIN_GRID_ID2384 1.685e+01 7.206e-03 2337.97 <2e-16 ***
DESTIN_GRID_ID2405 1.756e+01 5.101e-03 3443.18 <2e-16 ***
DESTIN_GRID_ID2406 1.454e+01 2.430e-02 598.39 <2e-16 ***
DESTIN_GRID_ID2426 1.693e+01 1.137e-02 1489.45 <2e-16 ***
DESTIN_GRID_ID2427 1.713e+01 7.129e-03 2402.71 <2e-16 ***
DESTIN_GRID_ID2505 1.728e+01 1.953e-02 884.97 <2e-16 ***
log(ORIGIN_RENTAL_CT) 3.331e-03 9.551e-05 34.88 <2e-16 ***
log(ORIGIN_2ROOM_CT) 1.448e-02 1.176e-04 123.10 <2e-16 ***
log(ORIGIN_3ROOM_CT) 1.232e-02 9.526e-05 129.35 <2e-16 ***
log(ORIGIN_4ROOM_CT) 3.329e-02 1.890e-04 176.10 <2e-16 ***
log(ORIGIN_5ROOM_CT) 9.408e-02 1.927e-04 488.23 <2e-16 ***
log(ORIGIN_EXEC_CT) 4.538e-02 9.763e-05 464.85 <2e-16 ***
log(ORIGIN_STUDIO_CT) 6.125e-03 1.430e-04 42.84 <2e-16 ***
log(dist) -1.416e+00 2.888e-04 -4904.88 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 276215117 on 62120 degrees of freedom
Residual deviance: 31076048 on 61294 degrees of freedom
AIC: 31413072
Number of Fisher Scoring iterations: 8Doubly Constrained SIM Output
The R-squared value of 0.59 tells us that the explanatory variables are able to explain 59 % of the variance in the TRIPS target variable.
The explanatory variable ‘distance’ is staitstically significant and has a coefficient of -0.159.
Call:
glm(formula = TRIPS ~ ORIGIN_GRID_ID + DESTIN_GRID_ID + log(dist),
family = poisson(link = "log"), data = flow_data1, na.action = na.exclude)
Deviance Residuals:
Min 1Q Median 3Q Max
-217.87 -8.91 -3.06 2.58 387.35
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 14.4995737 0.1405229 103.183 < 2e-16 ***
ORIGIN_GRID_ID44 1.7056185 0.2004186 8.510 < 2e-16 ***
ORIGIN_GRID_ID46 -0.1467601 0.1618183 -0.907 0.364436
ORIGIN_GRID_ID66 1.4079544 0.1872682 7.518 5.55e-14 ***
ORIGIN_GRID_ID67 1.7858665 0.1317516 13.555 < 2e-16 ***
ORIGIN_GRID_ID68 -0.6458621 0.1733066 -3.727 0.000194 ***
ORIGIN_GRID_ID86 -0.4812676 0.1543778 -3.117 0.001824 **
ORIGIN_GRID_ID87 3.3484453 0.1505756 22.238 < 2e-16 ***
ORIGIN_GRID_ID88 2.3745407 0.1304762 18.199 < 2e-16 ***
ORIGIN_GRID_ID89 0.2003904 0.1389305 1.442 0.149196
ORIGIN_GRID_ID90 0.9121014 0.1837089 4.965 6.87e-07 ***
ORIGIN_GRID_ID109 0.3374593 0.1681154 2.007 0.044717 *
ORIGIN_GRID_ID110 0.5220464 0.1528295 3.416 0.000636 ***
ORIGIN_GRID_ID111 3.9132098 0.1300257 30.096 < 2e-16 ***
ORIGIN_GRID_ID112 0.1043026 0.1479787 0.705 0.480905
ORIGIN_GRID_ID128 3.0501922 0.1328349 22.962 < 2e-16 ***
ORIGIN_GRID_ID129 0.3435998 0.2294048 1.498 0.134188
ORIGIN_GRID_ID130 1.2640907 0.1413194 8.945 < 2e-16 ***
ORIGIN_GRID_ID131 1.8830749 0.1337220 14.082 < 2e-16 ***
ORIGIN_GRID_ID132 0.1682472 0.1412622 1.191 0.233643
ORIGIN_GRID_ID133 1.0811357 0.1360628 7.946 1.93e-15 ***
ORIGIN_GRID_ID134 4.1188943 0.1328219 31.011 < 2e-16 ***
ORIGIN_GRID_ID150 4.1722876 0.1311427 31.815 < 2e-16 ***
ORIGIN_GRID_ID151 0.4327105 0.1535217 2.819 0.004824 **
ORIGIN_GRID_ID152 0.2180987 0.1561854 1.396 0.162591
ORIGIN_GRID_ID153 1.4524080 0.1371681 10.589 < 2e-16 ***
ORIGIN_GRID_ID154 4.1305781 0.1295147 31.893 < 2e-16 ***
ORIGIN_GRID_ID155 0.9760504 0.1351619 7.221 5.15e-13 ***
ORIGIN_GRID_ID156 1.6919869 0.1406782 12.027 < 2e-16 ***
ORIGIN_GRID_ID172 2.3089306 0.1458963 15.826 < 2e-16 ***
ORIGIN_GRID_ID174 1.1016926 0.1381941 7.972 1.56e-15 ***
ORIGIN_GRID_ID175 3.8108284 0.1298083 29.357 < 2e-16 ***
ORIGIN_GRID_ID176 4.8300292 0.1293904 37.329 < 2e-16 ***
ORIGIN_GRID_ID195 -0.0891281 0.1564900 -0.570 0.568986
ORIGIN_GRID_ID196 0.9041214 0.1363315 6.632 3.32e-11 ***
ORIGIN_GRID_ID197 0.0773601 0.1861108 0.416 0.677654
ORIGIN_GRID_ID215 1.4496648 0.1628894 8.900 < 2e-16 ***
ORIGIN_GRID_ID216 5.2418091 0.1295177 40.472 < 2e-16 ***
ORIGIN_GRID_ID217 2.3685387 0.1312764 18.042 < 2e-16 ***
ORIGIN_GRID_ID237 0.4374744 0.3281544 1.333 0.182487
ORIGIN_GRID_ID238 0.8413778 0.1502061 5.601 2.13e-08 ***
ORIGIN_GRID_ID239 1.1068227 0.1939436 5.707 1.15e-08 ***
ORIGIN_GRID_ID257 0.2025771 0.1438887 1.408 0.159169
ORIGIN_GRID_ID258 2.2499550 0.1326450 16.962 < 2e-16 ***
ORIGIN_GRID_ID259 1.4811751 0.1358451 10.903 < 2e-16 ***
ORIGIN_GRID_ID278 1.6241431 0.1350958 12.022 < 2e-16 ***
ORIGIN_GRID_ID279 0.4203812 0.1383974 3.037 0.002386 **
ORIGIN_GRID_ID280 0.9470532 0.1389435 6.816 9.35e-12 ***
ORIGIN_GRID_ID298 -3.1158059 0.3996761 -7.796 6.40e-15 ***
ORIGIN_GRID_ID299 0.1412003 0.1426904 0.990 0.322390
ORIGIN_GRID_ID300 4.1790626 0.1297150 32.217 < 2e-16 ***
ORIGIN_GRID_ID320 -0.2674725 0.1396215 -1.916 0.055404 .
ORIGIN_GRID_ID321 0.8255990 0.1524912 5.414 6.16e-08 ***
ORIGIN_GRID_ID322 2.5827879 0.1357718 19.023 < 2e-16 ***
ORIGIN_GRID_ID340 1.9864620 0.1332500 14.908 < 2e-16 ***
ORIGIN_GRID_ID341 -0.1167022 0.1389926 -0.840 0.401116
ORIGIN_GRID_ID342 2.0007361 0.1363843 14.670 < 2e-16 ***
ORIGIN_GRID_ID363 1.5855978 0.1356125 11.692 < 2e-16 ***
ORIGIN_GRID_ID364 2.1537747 0.1323674 16.271 < 2e-16 ***
ORIGIN_GRID_ID383 1.0480369 0.1338339 7.831 4.84e-15 ***
ORIGIN_GRID_ID384 0.5098754 0.1397421 3.649 0.000264 ***
ORIGIN_GRID_ID385 0.8798758 0.1471813 5.978 2.26e-09 ***
ORIGIN_GRID_ID404 2.1439835 0.1331749 16.099 < 2e-16 ***
ORIGIN_GRID_ID405 0.5438981 0.1412133 3.852 0.000117 ***
ORIGIN_GRID_ID406 5.9920842 0.1294253 46.298 < 2e-16 ***
ORIGIN_GRID_ID407 1.9659636 0.1387032 14.174 < 2e-16 ***
ORIGIN_GRID_ID408 2.7054865 0.1319557 20.503 < 2e-16 ***
ORIGIN_GRID_ID425 -0.6394889 0.1660384 -3.851 0.000117 ***
ORIGIN_GRID_ID426 1.4885415 0.1331511 11.179 < 2e-16 ***
ORIGIN_GRID_ID427 0.6586706 0.1382639 4.764 1.90e-06 ***
ORIGIN_GRID_ID428 0.1307966 0.1799603 0.727 0.467343
ORIGIN_GRID_ID429 2.3308281 0.1312850 17.754 < 2e-16 ***
ORIGIN_GRID_ID446 0.9486316 0.1481095 6.405 1.50e-10 ***
ORIGIN_GRID_ID447 0.9111894 0.1358665 6.707 1.99e-11 ***
ORIGIN_GRID_ID448 1.9589998 0.1324704 14.788 < 2e-16 ***
ORIGIN_GRID_ID449 5.1782842 0.1296044 39.955 < 2e-16 ***
ORIGIN_GRID_ID450 2.1379933 0.1311217 16.305 < 2e-16 ***
ORIGIN_GRID_ID468 1.8118052 0.1335927 13.562 < 2e-16 ***
ORIGIN_GRID_ID469 3.1383156 0.1303711 24.072 < 2e-16 ***
ORIGIN_GRID_ID470 5.2269773 0.1295387 40.351 < 2e-16 ***
ORIGIN_GRID_ID471 3.0058591 0.1306853 23.001 < 2e-16 ***
ORIGIN_GRID_ID488 0.6492692 0.1425139 4.556 5.22e-06 ***
ORIGIN_GRID_ID489 -1.0676049 0.2130489 -5.011 5.41e-07 ***
ORIGIN_GRID_ID490 3.6286983 0.1300446 27.903 < 2e-16 ***
ORIGIN_GRID_ID491 4.1342385 0.1296879 31.878 < 2e-16 ***
ORIGIN_GRID_ID493 -1.6306677 0.2537623 -6.426 1.31e-10 ***
ORIGIN_GRID_ID494 0.7434058 0.1520371 4.890 1.01e-06 ***
ORIGIN_GRID_ID509 0.6666130 0.1352734 4.928 8.31e-07 ***
ORIGIN_GRID_ID510 1.4552065 0.1322857 11.000 < 2e-16 ***
ORIGIN_GRID_ID511 3.0370244 0.1299491 23.371 < 2e-16 ***
ORIGIN_GRID_ID512 5.7576825 0.1294786 44.468 < 2e-16 ***
ORIGIN_GRID_ID513 2.1644251 0.1324025 16.347 < 2e-16 ***
ORIGIN_GRID_ID514 1.4074056 0.1410082 9.981 < 2e-16 ***
ORIGIN_GRID_ID515 0.0068605 0.2586018 0.027 0.978835
ORIGIN_GRID_ID530 -0.2654633 0.1580716 -1.679 0.093077 .
ORIGIN_GRID_ID531 1.9451152 0.1311507 14.831 < 2e-16 ***
ORIGIN_GRID_ID532 1.3547510 0.1322679 10.242 < 2e-16 ***
ORIGIN_GRID_ID533 5.4251355 0.1294795 41.900 < 2e-16 ***
ORIGIN_GRID_ID534 6.0474931 0.1294926 46.701 < 2e-16 ***
ORIGIN_GRID_ID536 2.7709226 0.1323696 20.933 < 2e-16 ***
ORIGIN_GRID_ID537 0.4167593 0.2322772 1.794 0.072776 .
ORIGIN_GRID_ID538 0.3453631 0.2888676 1.196 0.231862
ORIGIN_GRID_ID539 0.1670732 1.0089951 0.166 0.868485
ORIGIN_GRID_ID551 -0.2244546 0.1415171 -1.586 0.112726
ORIGIN_GRID_ID552 2.2522397 0.1349767 16.686 < 2e-16 ***
ORIGIN_GRID_ID553 1.8154373 0.1308048 13.879 < 2e-16 ***
ORIGIN_GRID_ID554 5.3605884 0.1294871 41.399 < 2e-16 ***
ORIGIN_GRID_ID555 4.6261607 0.1296861 35.672 < 2e-16 ***
ORIGIN_GRID_ID559 1.1649950 0.1680287 6.933 4.11e-12 ***
ORIGIN_GRID_ID560 3.2871330 0.1414631 23.237 < 2e-16 ***
ORIGIN_GRID_ID561 -1.3533937 1.0097290 -1.340 0.180130
ORIGIN_GRID_ID572 -2.5354013 0.5919866 -4.283 1.84e-05 ***
ORIGIN_GRID_ID573 0.1289562 0.1380210 0.934 0.350137
ORIGIN_GRID_ID574 1.7583129 0.1349887 13.026 < 2e-16 ***
ORIGIN_GRID_ID575 6.3884591 0.1294574 49.348 < 2e-16 ***
ORIGIN_GRID_ID576 4.9806951 0.1295448 38.448 < 2e-16 ***
ORIGIN_GRID_ID578 0.3778852 0.1662897 2.272 0.023059 *
ORIGIN_GRID_ID582 0.6240475 0.1702608 3.665 0.000247 ***
ORIGIN_GRID_ID583 1.5835599 0.5919019 2.675 0.007465 **
ORIGIN_GRID_ID584 3.9878945 0.1421301 28.058 < 2e-16 ***
ORIGIN_GRID_ID593 1.3303539 0.1396792 9.524 < 2e-16 ***
ORIGIN_GRID_ID594 1.4025884 0.1322023 10.609 < 2e-16 ***
ORIGIN_GRID_ID595 1.6684085 0.1309936 12.737 < 2e-16 ***
ORIGIN_GRID_ID596 4.7212115 0.1295171 36.452 < 2e-16 ***
ORIGIN_GRID_ID597 2.0074015 0.1432597 14.012 < 2e-16 ***
ORIGIN_GRID_ID603 1.1787352 0.1754663 6.718 1.85e-11 ***
ORIGIN_GRID_ID604 1.6409448 0.2319562 7.074 1.50e-12 ***
ORIGIN_GRID_ID615 -0.0619261 0.1391143 -0.445 0.656215
ORIGIN_GRID_ID616 1.1284613 0.1336131 8.446 < 2e-16 ***
ORIGIN_GRID_ID617 2.0251545 0.1308888 15.472 < 2e-16 ***
ORIGIN_GRID_ID618 5.4103085 0.1295004 41.778 < 2e-16 ***
ORIGIN_GRID_ID620 2.7695120 0.1334350 20.756 < 2e-16 ***
ORIGIN_GRID_ID637 0.8374534 0.1372380 6.102 1.05e-09 ***
ORIGIN_GRID_ID638 4.8231890 0.1295164 37.240 < 2e-16 ***
ORIGIN_GRID_ID657 2.6629766 0.1306477 20.383 < 2e-16 ***
ORIGIN_GRID_ID658 4.1673799 0.1296183 32.151 < 2e-16 ***
ORIGIN_GRID_ID659 4.3800872 0.1295687 33.805 < 2e-16 ***
ORIGIN_GRID_ID660 5.4602873 0.1294929 42.167 < 2e-16 ***
ORIGIN_GRID_ID662 5.5933020 0.1296765 43.133 < 2e-16 ***
ORIGIN_GRID_ID677 2.5565081 0.1316760 19.415 < 2e-16 ***
ORIGIN_GRID_ID678 0.3595870 0.1388140 2.590 0.009586 **
ORIGIN_GRID_ID679 5.3856357 0.1295009 41.588 < 2e-16 ***
ORIGIN_GRID_ID680 5.6466524 0.1294998 43.604 < 2e-16 ***
ORIGIN_GRID_ID681 4.3872850 0.1297513 33.813 < 2e-16 ***
ORIGIN_GRID_ID699 2.0733704 0.1316539 15.749 < 2e-16 ***
ORIGIN_GRID_ID700 4.3730388 0.1296040 33.742 < 2e-16 ***
ORIGIN_GRID_ID701 4.2565724 0.1296069 32.842 < 2e-16 ***
ORIGIN_GRID_ID702 5.3070412 0.1294987 40.981 < 2e-16 ***
ORIGIN_GRID_ID704 2.4221633 0.1339788 18.079 < 2e-16 ***
ORIGIN_GRID_ID722 2.0293990 0.1310936 15.481 < 2e-16 ***
ORIGIN_GRID_ID725 1.9829463 0.1360974 14.570 < 2e-16 ***
ORIGIN_GRID_ID741 2.6348977 0.1305826 20.178 < 2e-16 ***
ORIGIN_GRID_ID743 2.8170010 0.1301557 21.643 < 2e-16 ***
ORIGIN_GRID_ID744 4.8474265 0.1295384 37.421 < 2e-16 ***
ORIGIN_GRID_ID761 2.0736496 0.1330384 15.587 < 2e-16 ***
ORIGIN_GRID_ID762 4.1413547 0.1296742 31.937 < 2e-16 ***
ORIGIN_GRID_ID763 1.2997496 0.1329934 9.773 < 2e-16 ***
ORIGIN_GRID_ID764 5.3656376 0.1294984 41.434 < 2e-16 ***
ORIGIN_GRID_ID765 4.6443951 0.1297445 35.796 < 2e-16 ***
ORIGIN_GRID_ID767 6.4904800 0.1295131 50.114 < 2e-16 ***
ORIGIN_GRID_ID772 1.1046116 0.1532452 7.208 5.67e-13 ***
ORIGIN_GRID_ID784 1.2241278 0.1326018 9.232 < 2e-16 ***
ORIGIN_GRID_ID785 4.5292675 0.1295288 34.967 < 2e-16 ***
ORIGIN_GRID_ID786 4.2382271 0.1296076 32.700 < 2e-16 ***
ORIGIN_GRID_ID787 4.8220290 0.1296783 37.185 < 2e-16 ***
ORIGIN_GRID_ID788 5.7028043 0.1295788 44.010 < 2e-16 ***
ORIGIN_GRID_ID789 4.1392340 0.1299457 31.854 < 2e-16 ***
ORIGIN_GRID_ID803 0.1089926 0.1447726 0.753 0.451538
ORIGIN_GRID_ID804 5.1644291 0.1295247 39.872 < 2e-16 ***
ORIGIN_GRID_ID805 5.1801604 0.1294982 40.002 < 2e-16 ***
ORIGIN_GRID_ID806 4.8589581 0.1295278 37.513 < 2e-16 ***
ORIGIN_GRID_ID807 5.9055258 0.1295305 45.592 < 2e-16 ***
ORIGIN_GRID_ID808 4.1213100 0.1299694 31.710 < 2e-16 ***
ORIGIN_GRID_ID809 5.8755040 0.1295045 45.369 < 2e-16 ***
ORIGIN_GRID_ID810 5.1149791 0.1296048 39.466 < 2e-16 ***
ORIGIN_GRID_ID814 3.0238756 0.1325530 22.813 < 2e-16 ***
ORIGIN_GRID_ID819 5.2076844 0.1310243 39.746 < 2e-16 ***
ORIGIN_GRID_ID824 1.2193227 0.1361904 8.953 < 2e-16 ***
ORIGIN_GRID_ID826 2.8012168 0.1299005 21.564 < 2e-16 ***
ORIGIN_GRID_ID827 4.8032244 0.1295160 37.086 < 2e-16 ***
ORIGIN_GRID_ID828 5.2143004 0.1295084 40.262 < 2e-16 ***
ORIGIN_GRID_ID829 5.2712399 0.1295409 40.692 < 2e-16 ***
ORIGIN_GRID_ID830 5.5628680 0.1295647 42.935 < 2e-16 ***
ORIGIN_GRID_ID831 6.4085138 0.1294886 49.491 < 2e-16 ***
ORIGIN_GRID_ID832 5.4951650 0.1296508 42.384 < 2e-16 ***
ORIGIN_GRID_ID835 2.9242252 0.1329011 22.003 < 2e-16 ***
ORIGIN_GRID_ID844 0.3067812 0.1512441 2.028 0.042521 *
ORIGIN_GRID_ID846 4.2138943 0.1295746 32.521 < 2e-16 ***
ORIGIN_GRID_ID847 3.2219161 0.1298746 24.808 < 2e-16 ***
ORIGIN_GRID_ID848 4.5827310 0.1295496 35.374 < 2e-16 ***
ORIGIN_GRID_ID849 3.8358095 0.1297083 29.573 < 2e-16 ***
ORIGIN_GRID_ID850 4.6864622 0.1295872 36.165 < 2e-16 ***
ORIGIN_GRID_ID851 5.2971460 0.1295265 40.896 < 2e-16 ***
ORIGIN_GRID_ID852 4.8317913 0.1296266 37.275 < 2e-16 ***
ORIGIN_GRID_ID853 6.8239596 0.1295364 52.680 < 2e-16 ***
ORIGIN_GRID_ID854 3.1997570 0.1321632 24.211 < 2e-16 ***
ORIGIN_GRID_ID855 1.7317701 0.1373101 12.612 < 2e-16 ***
ORIGIN_GRID_ID856 3.3998908 0.1309194 25.969 < 2e-16 ***
ORIGIN_GRID_ID866 2.1395552 0.1326413 16.130 < 2e-16 ***
ORIGIN_GRID_ID867 3.0549809 0.1300651 23.488 < 2e-16 ***
ORIGIN_GRID_ID868 2.0989570 0.1313019 15.986 < 2e-16 ***
ORIGIN_GRID_ID869 4.9992864 0.1296005 38.575 < 2e-16 ***
ORIGIN_GRID_ID870 5.7593886 0.1294867 44.479 < 2e-16 ***
ORIGIN_GRID_ID871 5.5657428 0.1296080 42.943 < 2e-16 ***
ORIGIN_GRID_ID872 3.4871318 0.1299979 26.825 < 2e-16 ***
ORIGIN_GRID_ID873 3.6993847 0.1299132 28.476 < 2e-16 ***
ORIGIN_GRID_ID874 4.0430648 0.1297308 31.165 < 2e-16 ***
ORIGIN_GRID_ID875 0.9334575 0.1470915 6.346 2.21e-10 ***
ORIGIN_GRID_ID876 2.1625170 0.1332906 16.224 < 2e-16 ***
ORIGIN_GRID_ID877 1.6068358 0.1364543 11.776 < 2e-16 ***
ORIGIN_GRID_ID887 2.4454302 0.1302465 18.775 < 2e-16 ***
ORIGIN_GRID_ID888 3.9112234 0.1296742 30.162 < 2e-16 ***
ORIGIN_GRID_ID889 0.8291158 0.1340936 6.183 6.28e-10 ***
ORIGIN_GRID_ID890 5.2020499 0.1295078 40.168 < 2e-16 ***
ORIGIN_GRID_ID891 3.9275250 0.1299965 30.213 < 2e-16 ***
ORIGIN_GRID_ID893 5.3498227 0.1295191 41.305 < 2e-16 ***
ORIGIN_GRID_ID894 3.5930136 0.1299111 27.657 < 2e-16 ***
ORIGIN_GRID_ID895 3.0911795 0.1304272 23.700 < 2e-16 ***
ORIGIN_GRID_ID896 1.8565266 0.1331883 13.939 < 2e-16 ***
ORIGIN_GRID_ID897 0.0947568 0.1496291 0.633 0.526552
ORIGIN_GRID_ID898 2.3687643 0.1337180 17.715 < 2e-16 ***
ORIGIN_GRID_ID908 3.9094075 0.1301066 30.048 < 2e-16 ***
ORIGIN_GRID_ID909 3.9165043 0.1295976 30.221 < 2e-16 ***
ORIGIN_GRID_ID910 2.0585684 0.1306074 15.762 < 2e-16 ***
ORIGIN_GRID_ID911 3.3505325 0.1298021 25.813 < 2e-16 ***
ORIGIN_GRID_ID912 4.9287760 0.1295271 38.052 < 2e-16 ***
ORIGIN_GRID_ID915 5.2444423 0.1295311 40.488 < 2e-16 ***
ORIGIN_GRID_ID917 4.7954964 0.1296767 36.980 < 2e-16 ***
ORIGIN_GRID_ID918 1.0901332 0.1360598 8.012 1.13e-15 ***
ORIGIN_GRID_ID919 4.2762302 0.1298084 32.943 < 2e-16 ***
ORIGIN_GRID_ID928 2.7517068 0.1303520 21.110 < 2e-16 ***
ORIGIN_GRID_ID929 4.3466880 0.1295386 33.555 < 2e-16 ***
ORIGIN_GRID_ID930 5.1947824 0.1294898 40.117 < 2e-16 ***
ORIGIN_GRID_ID931 2.1575890 0.1307451 16.502 < 2e-16 ***
ORIGIN_GRID_ID932 2.6832660 0.1307685 20.519 < 2e-16 ***
ORIGIN_GRID_ID933 4.7951907 0.1295879 37.003 < 2e-16 ***
ORIGIN_GRID_ID934 2.2555287 0.1310370 17.213 < 2e-16 ***
ORIGIN_GRID_ID935 6.1140919 0.1294879 47.217 < 2e-16 ***
ORIGIN_GRID_ID938 -1.8252160 0.3061150 -5.963 2.48e-09 ***
ORIGIN_GRID_ID939 6.0170462 0.1295306 46.453 < 2e-16 ***
ORIGIN_GRID_ID940 0.1081432 0.1603140 0.675 0.499948
ORIGIN_GRID_ID949 2.6084733 0.1302994 20.019 < 2e-16 ***
ORIGIN_GRID_ID950 4.7661122 0.1295592 36.787 < 2e-16 ***
ORIGIN_GRID_ID951 5.6275391 0.1294811 43.462 < 2e-16 ***
ORIGIN_GRID_ID952 2.3360064 0.1313998 17.778 < 2e-16 ***
ORIGIN_GRID_ID953 3.5094374 0.1298630 27.024 < 2e-16 ***
ORIGIN_GRID_ID954 2.3986121 0.1307558 18.344 < 2e-16 ***
ORIGIN_GRID_ID955 4.6642394 0.1295889 35.993 < 2e-16 ***
ORIGIN_GRID_ID956 3.0702847 0.1300381 23.611 < 2e-16 ***
ORIGIN_GRID_ID957 5.2517968 0.1295950 40.525 < 2e-16 ***
ORIGIN_GRID_ID959 1.2499285 0.1401534 8.918 < 2e-16 ***
ORIGIN_GRID_ID961 1.1866988 0.1343222 8.835 < 2e-16 ***
ORIGIN_GRID_ID962 6.3903145 0.1296782 49.278 < 2e-16 ***
ORIGIN_GRID_ID970 3.1708829 0.1297415 24.440 < 2e-16 ***
ORIGIN_GRID_ID971 4.5045177 0.1295141 34.780 < 2e-16 ***
ORIGIN_GRID_ID972 4.4470243 0.1295433 34.328 < 2e-16 ***
ORIGIN_GRID_ID974 4.0559613 0.1296893 31.274 < 2e-16 ***
ORIGIN_GRID_ID975 3.7116491 0.1297952 28.596 < 2e-16 ***
ORIGIN_GRID_ID976 2.4544326 0.1306291 18.789 < 2e-16 ***
ORIGIN_GRID_ID977 5.6183860 0.1295093 43.382 < 2e-16 ***
ORIGIN_GRID_ID978 5.5393084 0.1296562 42.723 < 2e-16 ***
ORIGIN_GRID_ID982 2.4188039 0.1305569 18.527 < 2e-16 ***
ORIGIN_GRID_ID983 7.2878643 0.1295237 56.267 < 2e-16 ***
ORIGIN_GRID_ID984 7.6407732 0.1295809 58.965 < 2e-16 ***
ORIGIN_GRID_ID991 3.1509144 0.1298285 24.270 < 2e-16 ***
ORIGIN_GRID_ID992 3.5208655 0.1296576 27.155 < 2e-16 ***
ORIGIN_GRID_ID993 3.2074262 0.1297070 24.728 < 2e-16 ***
ORIGIN_GRID_ID994 2.7606704 0.1300012 21.236 < 2e-16 ***
ORIGIN_GRID_ID995 4.2498313 0.1295888 32.795 < 2e-16 ***
ORIGIN_GRID_ID996 3.9478079 0.1297127 30.435 < 2e-16 ***
ORIGIN_GRID_ID997 2.7064645 0.1328969 20.365 < 2e-16 ***
ORIGIN_GRID_ID998 5.7296831 0.1295143 44.240 < 2e-16 ***
ORIGIN_GRID_ID999 5.7186915 0.1295921 44.128 < 2e-16 ***
ORIGIN_GRID_ID1001 2.6040201 0.1320751 19.716 < 2e-16 ***
ORIGIN_GRID_ID1003 5.2369208 0.1295368 40.428 < 2e-16 ***
ORIGIN_GRID_ID1004 5.9990456 0.1295063 46.322 < 2e-16 ***
ORIGIN_GRID_ID1011 1.3666674 0.1339577 10.202 < 2e-16 ***
ORIGIN_GRID_ID1012 0.9479672 0.1360491 6.968 3.22e-12 ***
ORIGIN_GRID_ID1013 1.8407945 0.1308433 14.069 < 2e-16 ***
ORIGIN_GRID_ID1014 2.7422472 0.1300013 21.094 < 2e-16 ***
ORIGIN_GRID_ID1015 2.0462886 0.1308089 15.643 < 2e-16 ***
ORIGIN_GRID_ID1016 3.8825679 0.1297019 29.935 < 2e-16 ***
ORIGIN_GRID_ID1018 4.6191926 0.1298591 35.571 < 2e-16 ***
ORIGIN_GRID_ID1019 6.1377706 0.1295535 47.376 < 2e-16 ***
ORIGIN_GRID_ID1023 4.2143551 0.1298230 32.462 < 2e-16 ***
ORIGIN_GRID_ID1024 5.2489282 0.1295466 40.518 < 2e-16 ***
ORIGIN_GRID_ID1025 0.4583978 0.1461970 3.135 0.001716 **
ORIGIN_GRID_ID1033 2.4813134 0.1301224 19.069 < 2e-16 ***
ORIGIN_GRID_ID1034 3.5051673 0.1296971 27.026 < 2e-16 ***
ORIGIN_GRID_ID1035 4.2831008 0.1295783 33.054 < 2e-16 ***
ORIGIN_GRID_ID1036 2.0779189 0.1307404 15.893 < 2e-16 ***
ORIGIN_GRID_ID1037 3.4941789 0.1296890 26.943 < 2e-16 ***
ORIGIN_GRID_ID1043 2.5518687 0.1322257 19.299 < 2e-16 ***
ORIGIN_GRID_ID1045 4.9065742 0.1295434 37.876 < 2e-16 ***
ORIGIN_GRID_ID1046 4.8577906 0.1295733 37.491 < 2e-16 ***
ORIGIN_GRID_ID1053 4.0825772 0.1296066 31.500 < 2e-16 ***
ORIGIN_GRID_ID1054 2.9573413 0.1297957 22.785 < 2e-16 ***
ORIGIN_GRID_ID1055 4.1412171 0.1295720 31.961 < 2e-16 ***
ORIGIN_GRID_ID1056 3.1452592 0.1298463 24.223 < 2e-16 ***
ORIGIN_GRID_ID1064 0.1911943 0.2889232 0.662 0.508133
ORIGIN_GRID_ID1066 4.5892565 0.1295716 35.419 < 2e-16 ***
ORIGIN_GRID_ID1067 -0.9381733 0.2417461 -3.881 0.000104 ***
ORIGIN_GRID_ID1074 3.3669451 0.1297343 25.953 < 2e-16 ***
ORIGIN_GRID_ID1075 2.5512241 0.1300288 19.620 < 2e-16 ***
ORIGIN_GRID_ID1076 2.8439299 0.1298005 21.910 < 2e-16 ***
ORIGIN_GRID_ID1077 3.0049637 0.1299470 23.125 < 2e-16 ***
ORIGIN_GRID_ID1079 4.4165248 0.1295814 34.083 < 2e-16 ***
ORIGIN_GRID_ID1085 -1.4981541 0.2215701 -6.762 1.37e-11 ***
ORIGIN_GRID_ID1087 4.5927598 0.1296033 35.437 < 2e-16 ***
ORIGIN_GRID_ID1088 2.8748266 0.1300714 22.102 < 2e-16 ***
ORIGIN_GRID_ID1094 1.3962279 0.1386703 10.069 < 2e-16 ***
ORIGIN_GRID_ID1095 0.7893261 0.1368251 5.769 7.98e-09 ***
ORIGIN_GRID_ID1096 2.8257300 0.1314627 21.495 < 2e-16 ***
ORIGIN_GRID_ID1097 4.8052363 0.1295141 37.102 < 2e-16 ***
ORIGIN_GRID_ID1098 2.4069979 0.1309952 18.375 < 2e-16 ***
ORIGIN_GRID_ID1099 3.8293449 0.1296617 29.533 < 2e-16 ***
ORIGIN_GRID_ID1105 1.3077117 0.1520166 8.602 < 2e-16 ***
ORIGIN_GRID_ID1106 -0.2475297 0.1736414 -1.426 0.154006
ORIGIN_GRID_ID1107 2.1835427 0.1331075 16.404 < 2e-16 ***
ORIGIN_GRID_ID1108 6.5289289 0.1294875 50.421 < 2e-16 ***
ORIGIN_GRID_ID1109 1.6528906 0.1324742 12.477 < 2e-16 ***
ORIGIN_GRID_ID1116 3.1823085 0.1297989 24.517 < 2e-16 ***
ORIGIN_GRID_ID1117 1.5139620 0.1314888 11.514 < 2e-16 ***
ORIGIN_GRID_ID1118 2.0054300 0.1311094 15.296 < 2e-16 ***
ORIGIN_GRID_ID1119 2.9931278 0.1299525 23.032 < 2e-16 ***
ORIGIN_GRID_ID1120 2.9601262 0.1302904 22.719 < 2e-16 ***
ORIGIN_GRID_ID1129 4.9013389 0.1295592 37.831 < 2e-16 ***
ORIGIN_GRID_ID1130 4.9530928 0.1295282 38.239 < 2e-16 ***
ORIGIN_GRID_ID1131 2.8525581 0.1306682 21.831 < 2e-16 ***
ORIGIN_GRID_ID1136 2.2222793 0.1304086 17.041 < 2e-16 ***
ORIGIN_GRID_ID1138 1.0248323 0.1357161 7.551 4.31e-14 ***
ORIGIN_GRID_ID1139 3.9785733 0.1295767 30.704 < 2e-16 ***
ORIGIN_GRID_ID1141 3.9544964 0.1296318 30.506 < 2e-16 ***
ORIGIN_GRID_ID1148 1.3228071 0.1408319 9.393 < 2e-16 ***
ORIGIN_GRID_ID1149 2.6795326 0.1310207 20.451 < 2e-16 ***
ORIGIN_GRID_ID1150 5.1800176 0.1295180 39.995 < 2e-16 ***
ORIGIN_GRID_ID1151 4.0546868 0.1296418 31.276 < 2e-16 ***
ORIGIN_GRID_ID1158 2.2655029 0.1300784 17.416 < 2e-16 ***
ORIGIN_GRID_ID1159 3.7576290 0.1296012 28.994 < 2e-16 ***
ORIGIN_GRID_ID1160 4.8053581 0.1295167 37.102 < 2e-16 ***
ORIGIN_GRID_ID1171 5.7585356 0.1295290 44.457 < 2e-16 ***
ORIGIN_GRID_ID1172 5.5656572 0.1295264 42.969 < 2e-16 ***
ORIGIN_GRID_ID1173 2.8534939 0.1301916 21.918 < 2e-16 ***
ORIGIN_GRID_ID1174 -1.3566427 0.2889056 -4.696 2.66e-06 ***
ORIGIN_GRID_ID1178 2.5078415 0.1300079 19.290 < 2e-16 ***
ORIGIN_GRID_ID1179 3.1812537 0.1296953 24.529 < 2e-16 ***
ORIGIN_GRID_ID1180 4.2827654 0.1295412 33.061 < 2e-16 ***
ORIGIN_GRID_ID1181 3.5676398 0.1296590 27.516 < 2e-16 ***
ORIGIN_GRID_ID1183 2.6734408 0.1302634 20.523 < 2e-16 ***
ORIGIN_GRID_ID1190 1.6279070 0.1391281 11.701 < 2e-16 ***
ORIGIN_GRID_ID1192 4.4424530 0.1296382 34.268 < 2e-16 ***
ORIGIN_GRID_ID1193 4.4269340 0.1295858 34.162 < 2e-16 ***
ORIGIN_GRID_ID1194 2.6377398 0.1304249 20.224 < 2e-16 ***
ORIGIN_GRID_ID1200 3.3459193 0.1296655 25.804 < 2e-16 ***
ORIGIN_GRID_ID1201 3.1272543 0.1297051 24.110 < 2e-16 ***
ORIGIN_GRID_ID1203 4.0399726 0.1296156 31.169 < 2e-16 ***
ORIGIN_GRID_ID1204 3.8887776 0.1296384 29.997 < 2e-16 ***
ORIGIN_GRID_ID1211 0.3628379 0.2538880 1.429 0.152968
ORIGIN_GRID_ID1214 5.2387184 0.1295361 40.442 < 2e-16 ***
ORIGIN_GRID_ID1215 1.6141673 0.1368661 11.794 < 2e-16 ***
ORIGIN_GRID_ID1216 0.7144107 0.1369354 5.217 1.82e-07 ***
ORIGIN_GRID_ID1220 4.3011500 0.1295397 33.203 < 2e-16 ***
ORIGIN_GRID_ID1221 3.9931290 0.1295529 30.822 < 2e-16 ***
ORIGIN_GRID_ID1222 3.6564904 0.1299059 28.147 < 2e-16 ***
ORIGIN_GRID_ID1223 1.9482983 0.1308732 14.887 < 2e-16 ***
ORIGIN_GRID_ID1224 2.8243000 0.1300007 21.725 < 2e-16 ***
ORIGIN_GRID_ID1231 -1.1508887 0.2382878 -4.830 1.37e-06 ***
ORIGIN_GRID_ID1232 1.3464797 0.1677210 8.028 9.90e-16 ***
ORIGIN_GRID_ID1235 2.7434248 0.1302640 21.060 < 2e-16 ***
ORIGIN_GRID_ID1236 2.5323686 0.1303762 19.424 < 2e-16 ***
ORIGIN_GRID_ID1241 2.5233740 0.1299814 19.413 < 2e-16 ***
ORIGIN_GRID_ID1242 3.1951082 0.1296738 24.640 < 2e-16 ***
ORIGIN_GRID_ID1243 3.8075964 0.1295722 29.386 < 2e-16 ***
ORIGIN_GRID_ID1246 3.0024853 0.1298779 23.118 < 2e-16 ***
ORIGIN_GRID_ID1256 4.1822317 0.1296957 32.246 < 2e-16 ***
ORIGIN_GRID_ID1257 5.0842078 0.1295881 39.234 < 2e-16 ***
ORIGIN_GRID_ID1258 3.0119251 0.1303613 23.104 < 2e-16 ***
ORIGIN_GRID_ID1262 2.9644522 0.1297801 22.842 < 2e-16 ***
ORIGIN_GRID_ID1263 3.4025204 0.1296032 26.253 < 2e-16 ***
ORIGIN_GRID_ID1264 2.3863689 0.1302426 18.322 < 2e-16 ***
ORIGIN_GRID_ID1265 2.0682350 0.1307220 15.822 < 2e-16 ***
ORIGIN_GRID_ID1266 3.7113689 0.1297163 28.611 < 2e-16 ***
ORIGIN_GRID_ID1267 1.6049104 0.1336491 12.008 < 2e-16 ***
ORIGIN_GRID_ID1272 -0.8539361 0.1962445 -4.351 1.35e-05 ***
ORIGIN_GRID_ID1273 3.5100695 0.1301459 26.970 < 2e-16 ***
ORIGIN_GRID_ID1277 5.1494146 0.1295389 39.752 < 2e-16 ***
ORIGIN_GRID_ID1278 2.5330851 0.1303318 19.436 < 2e-16 ***
ORIGIN_GRID_ID1283 4.6794227 0.1295296 36.126 < 2e-16 ***
ORIGIN_GRID_ID1284 3.9456843 0.1295656 30.453 < 2e-16 ***
ORIGIN_GRID_ID1285 4.5788810 0.1295132 35.355 < 2e-16 ***
ORIGIN_GRID_ID1286 2.7655361 0.1300215 21.270 < 2e-16 ***
ORIGIN_GRID_ID1289 1.1320461 0.1404018 8.063 7.45e-16 ***
ORIGIN_GRID_ID1293 0.2130123 0.1533915 1.389 0.164929
ORIGIN_GRID_ID1294 5.0087128 0.1296248 38.640 < 2e-16 ***
ORIGIN_GRID_ID1295 2.4363046 0.1314408 18.535 < 2e-16 ***
ORIGIN_GRID_ID1298 4.2044427 0.1296673 32.425 < 2e-16 ***
ORIGIN_GRID_ID1299 4.5573011 0.1296324 35.156 < 2e-16 ***
ORIGIN_GRID_ID1304 4.5798557 0.1295282 35.358 < 2e-16 ***
ORIGIN_GRID_ID1305 3.9401059 0.1295393 30.416 < 2e-16 ***
ORIGIN_GRID_ID1307 0.1574184 0.1400458 1.124 0.260992
ORIGIN_GRID_ID1308 3.7696367 0.1296416 29.077 < 2e-16 ***
ORIGIN_GRID_ID1310 -1.0700018 0.2689230 -3.979 6.93e-05 ***
ORIGIN_GRID_ID1316 1.4780253 0.1348067 10.964 < 2e-16 ***
ORIGIN_GRID_ID1317 3.1951209 0.1300413 24.570 < 2e-16 ***
ORIGIN_GRID_ID1318 2.4219658 0.1306449 18.539 < 2e-16 ***
ORIGIN_GRID_ID1319 5.4601234 0.1295310 42.153 < 2e-16 ***
ORIGIN_GRID_ID1320 4.0132807 0.1297971 30.920 < 2e-16 ***
ORIGIN_GRID_ID1325 2.1833375 0.1301753 16.772 < 2e-16 ***
ORIGIN_GRID_ID1326 4.1481195 0.1295348 32.023 < 2e-16 ***
ORIGIN_GRID_ID1327 3.8840568 0.1295592 29.979 < 2e-16 ***
ORIGIN_GRID_ID1328 2.5018438 0.1299379 19.254 < 2e-16 ***
ORIGIN_GRID_ID1329 2.7977364 0.1301227 21.501 < 2e-16 ***
ORIGIN_GRID_ID1330 3.6862632 0.1297735 28.405 < 2e-16 ***
ORIGIN_GRID_ID1331 -1.3088559 0.3576148 -3.660 0.000252 ***
ORIGIN_GRID_ID1333 3.0878626 0.1301489 23.726 < 2e-16 ***
ORIGIN_GRID_ID1334 3.3347552 0.1300547 25.641 < 2e-16 ***
ORIGIN_GRID_ID1335 2.9381473 0.1307187 22.477 < 2e-16 ***
ORIGIN_GRID_ID1336 0.1097369 0.1897248 0.578 0.562994
ORIGIN_GRID_ID1337 0.4715310 0.1420051 3.321 0.000898 ***
ORIGIN_GRID_ID1338 -0.9602672 0.1745393 -5.502 3.76e-08 ***
ORIGIN_GRID_ID1339 5.2773246 0.1295284 40.743 < 2e-16 ***
ORIGIN_GRID_ID1340 3.6591414 0.1298182 28.187 < 2e-16 ***
ORIGIN_GRID_ID1341 0.8171489 0.2584384 3.162 0.001568 **
ORIGIN_GRID_ID1346 3.7686687 0.1296453 29.069 < 2e-16 ***
ORIGIN_GRID_ID1347 4.7672157 0.1295147 36.808 < 2e-16 ***
ORIGIN_GRID_ID1348 3.1160780 0.1296628 24.032 < 2e-16 ***
ORIGIN_GRID_ID1349 2.9400884 0.1298133 22.649 < 2e-16 ***
ORIGIN_GRID_ID1350 3.2910188 0.1299993 25.316 < 2e-16 ***
ORIGIN_GRID_ID1353 3.0944108 0.1299080 23.820 < 2e-16 ***
ORIGIN_GRID_ID1354 2.8526247 0.1301978 21.910 < 2e-16 ***
ORIGIN_GRID_ID1355 3.6655316 0.1297833 28.243 < 2e-16 ***
ORIGIN_GRID_ID1357 2.6975976 0.1310957 20.577 < 2e-16 ***
ORIGIN_GRID_ID1358 4.0397520 0.1297073 31.145 < 2e-16 ***
ORIGIN_GRID_ID1359 4.3691684 0.1295862 33.716 < 2e-16 ***
ORIGIN_GRID_ID1360 4.4323891 0.1295920 34.203 < 2e-16 ***
ORIGIN_GRID_ID1361 5.5738569 0.1295390 43.028 < 2e-16 ***
ORIGIN_GRID_ID1362 1.7029139 0.1359711 12.524 < 2e-16 ***
ORIGIN_GRID_ID1368 2.6326636 0.1298138 20.280 < 2e-16 ***
ORIGIN_GRID_ID1369 2.3384940 0.1298760 18.006 < 2e-16 ***
ORIGIN_GRID_ID1370 3.5746929 0.1295826 27.586 < 2e-16 ***
ORIGIN_GRID_ID1371 2.9594154 0.1299408 22.775 < 2e-16 ***
ORIGIN_GRID_ID1372 2.2759997 0.1302051 17.480 < 2e-16 ***
ORIGIN_GRID_ID1373 0.6660036 0.1397862 4.764 1.89e-06 ***
ORIGIN_GRID_ID1374 2.5838275 0.1301028 19.860 < 2e-16 ***
ORIGIN_GRID_ID1375 4.1259653 0.1297301 31.804 < 2e-16 ***
ORIGIN_GRID_ID1376 3.4095478 0.1302077 26.185 < 2e-16 ***
ORIGIN_GRID_ID1379 1.7024572 0.1344622 12.661 < 2e-16 ***
ORIGIN_GRID_ID1380 5.7612070 0.1295036 44.487 < 2e-16 ***
ORIGIN_GRID_ID1381 5.3501757 0.1295267 41.306 < 2e-16 ***
ORIGIN_GRID_ID1382 4.7922404 0.1296313 36.968 < 2e-16 ***
ORIGIN_GRID_ID1383 2.4033431 0.1320129 18.205 < 2e-16 ***
ORIGIN_GRID_ID1388 3.1701366 0.1296757 24.447 < 2e-16 ***
ORIGIN_GRID_ID1389 1.9100799 0.1300828 14.684 < 2e-16 ***
ORIGIN_GRID_ID1390 3.0585966 0.1296904 23.584 < 2e-16 ***
ORIGIN_GRID_ID1391 3.1479690 0.1297412 24.263 < 2e-16 ***
ORIGIN_GRID_ID1392 2.6551236 0.1308440 20.292 < 2e-16 ***
ORIGIN_GRID_ID1393 1.8247939 0.1304929 13.984 < 2e-16 ***
ORIGIN_GRID_ID1394 3.2794565 0.1297232 25.280 < 2e-16 ***
ORIGIN_GRID_ID1395 3.3567611 0.1297213 25.877 < 2e-16 ***
ORIGIN_GRID_ID1396 4.4675609 0.1295713 34.480 < 2e-16 ***
ORIGIN_GRID_ID1397 4.5388706 0.1295807 35.027 < 2e-16 ***
ORIGIN_GRID_ID1398 3.4733087 0.1300101 26.716 < 2e-16 ***
ORIGIN_GRID_ID1400 4.5631209 0.1296520 35.195 < 2e-16 ***
ORIGIN_GRID_ID1401 4.9251494 0.1295307 38.023 < 2e-16 ***
ORIGIN_GRID_ID1402 4.9305937 0.1295508 38.059 < 2e-16 ***
ORIGIN_GRID_ID1404 5.0484371 0.1304597 38.697 < 2e-16 ***
ORIGIN_GRID_ID1410 2.6825678 0.1297500 20.675 < 2e-16 ***
ORIGIN_GRID_ID1411 2.7246550 0.1297719 20.996 < 2e-16 ***
ORIGIN_GRID_ID1412 2.9949964 0.1296625 23.098 < 2e-16 ***
ORIGIN_GRID_ID1413 3.8890080 0.1295784 30.013 < 2e-16 ***
ORIGIN_GRID_ID1414 3.2647638 0.1296465 25.182 < 2e-16 ***
ORIGIN_GRID_ID1415 2.8079366 0.1298578 21.623 < 2e-16 ***
ORIGIN_GRID_ID1416 3.4832529 0.1296730 26.862 < 2e-16 ***
ORIGIN_GRID_ID1417 3.6214532 0.1296551 27.931 < 2e-16 ***
ORIGIN_GRID_ID1418 4.4367506 0.1295622 34.244 < 2e-16 ***
ORIGIN_GRID_ID1419 3.9133035 0.1296567 30.182 < 2e-16 ***
ORIGIN_GRID_ID1422 4.9996195 0.1295749 38.585 < 2e-16 ***
ORIGIN_GRID_ID1423 5.9092714 0.1295183 45.625 < 2e-16 ***
ORIGIN_GRID_ID1430 3.4807613 0.1296337 26.851 < 2e-16 ***
ORIGIN_GRID_ID1431 3.4492075 0.1295835 26.618 < 2e-16 ***
ORIGIN_GRID_ID1432 3.5770956 0.1295726 27.607 < 2e-16 ***
ORIGIN_GRID_ID1433 2.3236388 0.1307408 17.773 < 2e-16 ***
ORIGIN_GRID_ID1434 3.8599000 0.1295927 29.785 < 2e-16 ***
ORIGIN_GRID_ID1435 4.2632052 0.1295297 32.913 < 2e-16 ***
ORIGIN_GRID_ID1436 1.1282468 0.1320635 8.543 < 2e-16 ***
ORIGIN_GRID_ID1437 4.4402379 0.1295445 34.276 < 2e-16 ***
ORIGIN_GRID_ID1438 4.9240335 0.1295072 38.021 < 2e-16 ***
ORIGIN_GRID_ID1439 5.5268439 0.1294976 42.679 < 2e-16 ***
ORIGIN_GRID_ID1440 1.9674791 0.1312536 14.990 < 2e-16 ***
ORIGIN_GRID_ID1442 4.8253247 0.1296542 37.217 < 2e-16 ***
ORIGIN_GRID_ID1443 5.8880692 0.1295243 45.459 < 2e-16 ***
ORIGIN_GRID_ID1444 4.9313403 0.1297071 38.019 < 2e-16 ***
ORIGIN_GRID_ID1452 2.5609262 0.1297873 19.732 < 2e-16 ***
ORIGIN_GRID_ID1453 2.6939585 0.1297606 20.761 < 2e-16 ***
ORIGIN_GRID_ID1454 1.7832651 0.1311976 13.592 < 2e-16 ***
ORIGIN_GRID_ID1455 3.2192244 0.1297833 24.805 < 2e-16 ***
ORIGIN_GRID_ID1456 3.6264812 0.1296216 27.977 < 2e-16 ***
ORIGIN_GRID_ID1457 4.4969778 0.1295312 34.717 < 2e-16 ***
ORIGIN_GRID_ID1458 4.8363313 0.1295159 37.342 < 2e-16 ***
ORIGIN_GRID_ID1459 4.2737656 0.1295517 32.989 < 2e-16 ***
ORIGIN_GRID_ID1460 3.4501677 0.1296515 26.611 < 2e-16 ***
ORIGIN_GRID_ID1461 2.1279011 0.1307081 16.280 < 2e-16 ***
ORIGIN_GRID_ID1464 6.2828549 0.1295152 48.511 < 2e-16 ***
ORIGIN_GRID_ID1465 5.7609060 0.1295607 44.465 < 2e-16 ***
ORIGIN_GRID_ID1472 1.1277502 0.1315699 8.571 < 2e-16 ***
ORIGIN_GRID_ID1473 2.0946783 0.1299884 16.114 < 2e-16 ***
ORIGIN_GRID_ID1474 3.2694545 0.1296020 25.227 < 2e-16 ***
ORIGIN_GRID_ID1475 4.2409690 0.1295416 32.738 < 2e-16 ***
ORIGIN_GRID_ID1476 3.5961102 0.1296413 27.739 < 2e-16 ***
ORIGIN_GRID_ID1477 5.1482590 0.1294902 39.758 < 2e-16 ***
ORIGIN_GRID_ID1478 3.4629216 0.1296421 26.711 < 2e-16 ***
ORIGIN_GRID_ID1479 3.6903956 0.1296048 28.474 < 2e-16 ***
ORIGIN_GRID_ID1480 5.5151586 0.1294887 42.592 < 2e-16 ***
ORIGIN_GRID_ID1481 2.8481431 0.1299016 21.925 < 2e-16 ***
ORIGIN_GRID_ID1482 3.0385662 0.1302605 23.327 < 2e-16 ***
ORIGIN_GRID_ID1485 5.7318316 0.1295646 44.239 < 2e-16 ***
ORIGIN_GRID_ID1494 2.3308264 0.1302551 17.894 < 2e-16 ***
ORIGIN_GRID_ID1495 2.5732051 0.1297757 19.828 < 2e-16 ***
ORIGIN_GRID_ID1496 3.7224213 0.1295577 28.732 < 2e-16 ***
ORIGIN_GRID_ID1497 4.0742946 0.1295750 31.444 < 2e-16 ***
ORIGIN_GRID_ID1498 4.4340060 0.1295289 34.232 < 2e-16 ***
ORIGIN_GRID_ID1499 4.6717991 0.1295137 36.072 < 2e-16 ***
ORIGIN_GRID_ID1500 4.5683363 0.1295819 35.254 < 2e-16 ***
ORIGIN_GRID_ID1501 4.8100205 0.1295153 37.139 < 2e-16 ***
ORIGIN_GRID_ID1502 4.2538416 0.1295555 32.834 < 2e-16 ***
ORIGIN_GRID_ID1506 0.2700397 0.1762201 1.532 0.125424
ORIGIN_GRID_ID1515 1.5127157 0.1320548 11.455 < 2e-16 ***
ORIGIN_GRID_ID1516 2.9654101 0.1296990 22.864 < 2e-16 ***
ORIGIN_GRID_ID1517 3.4553345 0.1296646 26.648 < 2e-16 ***
ORIGIN_GRID_ID1518 3.3604584 0.1296969 25.910 < 2e-16 ***
ORIGIN_GRID_ID1519 4.7015797 0.1295609 36.289 < 2e-16 ***
ORIGIN_GRID_ID1520 3.4068287 0.1296613 26.275 < 2e-16 ***
ORIGIN_GRID_ID1521 2.7475525 0.1299356 21.145 < 2e-16 ***
ORIGIN_GRID_ID1522 5.0147790 0.1295079 38.722 < 2e-16 ***
ORIGIN_GRID_ID1523 3.5122644 0.1304822 26.918 < 2e-16 ***
ORIGIN_GRID_ID1524 3.6844218 0.1298572 28.373 < 2e-16 ***
ORIGIN_GRID_ID1527 3.6801928 0.1305458 28.191 < 2e-16 ***
ORIGIN_GRID_ID1535 -0.0256107 0.1641549 -0.156 0.876021
ORIGIN_GRID_ID1536 0.8592776 0.1342134 6.402 1.53e-10 ***
ORIGIN_GRID_ID1537 1.5478822 0.1310707 11.810 < 2e-16 ***
ORIGIN_GRID_ID1538 3.1974093 0.1296393 24.664 < 2e-16 ***
ORIGIN_GRID_ID1539 3.7315464 0.1295721 28.799 < 2e-16 ***
ORIGIN_GRID_ID1540 4.3341844 0.1295350 33.460 < 2e-16 ***
ORIGIN_GRID_ID1541 5.5177438 0.1295791 42.582 < 2e-16 ***
ORIGIN_GRID_ID1542 2.4655048 0.1304644 18.898 < 2e-16 ***
ORIGIN_GRID_ID1543 3.2900499 0.1314547 25.028 < 2e-16 ***
ORIGIN_GRID_ID1544 4.2634068 0.1296366 32.887 < 2e-16 ***
ORIGIN_GRID_ID1547 1.4000760 0.1441635 9.712 < 2e-16 ***
ORIGIN_GRID_ID1556 1.1160262 0.1488428 7.498 6.48e-14 ***
ORIGIN_GRID_ID1557 0.8760692 0.1348029 6.499 8.09e-11 ***
ORIGIN_GRID_ID1558 2.1114407 0.1311164 16.104 < 2e-16 ***
ORIGIN_GRID_ID1559 3.8598916 0.1295590 29.793 < 2e-16 ***
ORIGIN_GRID_ID1560 4.7021645 0.1295119 36.307 < 2e-16 ***
ORIGIN_GRID_ID1561 4.5767081 0.1295433 35.330 < 2e-16 ***
ORIGIN_GRID_ID1562 1.6339094 0.1312362 12.450 < 2e-16 ***
ORIGIN_GRID_ID1563 3.4486859 0.1296818 26.593 < 2e-16 ***
ORIGIN_GRID_ID1564 2.6083143 0.1302234 20.030 < 2e-16 ***
ORIGIN_GRID_ID1565 2.6712789 0.1302705 20.506 < 2e-16 ***
ORIGIN_GRID_ID1566 2.4196187 0.1311226 18.453 < 2e-16 ***
ORIGIN_GRID_ID1567 0.3613545 0.1608199 2.247 0.024643 *
ORIGIN_GRID_ID1568 1.3659685 0.1461712 9.345 < 2e-16 ***
ORIGIN_GRID_ID1578 -1.5812104 0.2899386 -5.454 4.94e-08 ***
ORIGIN_GRID_ID1580 2.3243561 0.1306566 17.790 < 2e-16 ***
ORIGIN_GRID_ID1581 1.1713046 0.1313084 8.920 < 2e-16 ***
ORIGIN_GRID_ID1582 4.3920737 0.1295193 33.911 < 2e-16 ***
ORIGIN_GRID_ID1583 2.6601078 0.1312457 20.268 < 2e-16 ***
ORIGIN_GRID_ID1584 2.9271840 0.1299209 22.531 < 2e-16 ***
ORIGIN_GRID_ID1585 3.5562990 0.1298369 27.391 < 2e-16 ***
ORIGIN_GRID_ID1586 2.5487396 0.1302031 19.575 < 2e-16 ***
ORIGIN_GRID_ID1589 0.3490170 0.1633174 2.137 0.032594 *
ORIGIN_GRID_ID1590 1.0833179 0.1473770 7.351 1.97e-13 ***
ORIGIN_GRID_ID1600 4.4473910 0.1299091 34.235 < 2e-16 ***
ORIGIN_GRID_ID1601 2.9934276 0.1297058 23.079 < 2e-16 ***
ORIGIN_GRID_ID1602 3.6766873 0.1296144 28.366 < 2e-16 ***
ORIGIN_GRID_ID1603 4.5870862 0.1295230 35.415 < 2e-16 ***
ORIGIN_GRID_ID1604 3.0990561 0.1297230 23.890 < 2e-16 ***
ORIGIN_GRID_ID1605 4.5094011 0.1295310 34.813 < 2e-16 ***
ORIGIN_GRID_ID1606 3.9803870 0.1298410 30.656 < 2e-16 ***
ORIGIN_GRID_ID1607 3.3114324 0.1298260 25.507 < 2e-16 ***
ORIGIN_GRID_ID1608 5.3211164 0.1295391 41.077 < 2e-16 ***
ORIGIN_GRID_ID1609 5.2021136 0.1295883 40.143 < 2e-16 ***
ORIGIN_GRID_ID1610 1.7944261 0.1457221 12.314 < 2e-16 ***
ORIGIN_GRID_ID1622 3.0484921 0.1314523 23.191 < 2e-16 ***
ORIGIN_GRID_ID1623 4.3774780 0.1295249 33.796 < 2e-16 ***
ORIGIN_GRID_ID1624 3.1542714 0.1297384 24.313 < 2e-16 ***
ORIGIN_GRID_ID1625 4.5444694 0.1295452 35.080 < 2e-16 ***
ORIGIN_GRID_ID1626 5.2184399 0.1295012 40.296 < 2e-16 ***
ORIGIN_GRID_ID1627 3.6069280 0.1296708 27.816 < 2e-16 ***
ORIGIN_GRID_ID1628 5.3497701 0.1295041 41.310 < 2e-16 ***
ORIGIN_GRID_ID1629 4.3528540 0.1296429 33.576 < 2e-16 ***
ORIGIN_GRID_ID1630 4.4628045 0.1297035 34.408 < 2e-16 ***
ORIGIN_GRID_ID1631 0.8230139 0.1472923 5.588 2.30e-08 ***
ORIGIN_GRID_ID1642 1.8639168 0.1330401 14.010 < 2e-16 ***
ORIGIN_GRID_ID1643 4.3336129 0.1295359 33.455 < 2e-16 ***
ORIGIN_GRID_ID1644 2.1130156 0.1306068 16.178 < 2e-16 ***
ORIGIN_GRID_ID1645 3.5768772 0.1296136 27.596 < 2e-16 ***
ORIGIN_GRID_ID1646 3.4119502 0.1297959 26.287 < 2e-16 ***
ORIGIN_GRID_ID1647 3.7963164 0.1295980 29.293 < 2e-16 ***
ORIGIN_GRID_ID1648 4.4450360 0.1295512 34.311 < 2e-16 ***
ORIGIN_GRID_ID1649 5.2239149 0.1295114 40.336 < 2e-16 ***
ORIGIN_GRID_ID1650 5.3531423 0.1295714 41.314 < 2e-16 ***
ORIGIN_GRID_ID1664 -0.7669466 0.1962837 -3.907 9.33e-05 ***
ORIGIN_GRID_ID1665 4.5082728 0.1295209 34.807 < 2e-16 ***
ORIGIN_GRID_ID1666 3.1955625 0.1296706 24.644 < 2e-16 ***
ORIGIN_GRID_ID1667 4.1908237 0.1299159 32.258 < 2e-16 ***
ORIGIN_GRID_ID1668 4.3454805 0.1295470 33.544 < 2e-16 ***
ORIGIN_GRID_ID1670 5.2460200 0.1295043 40.508 < 2e-16 ***
ORIGIN_GRID_ID1671 5.9639460 0.1295668 46.030 < 2e-16 ***
ORIGIN_GRID_ID1672 5.6147129 0.1295969 43.324 < 2e-16 ***
ORIGIN_GRID_ID1684 3.4741618 0.1301808 26.687 < 2e-16 ***
ORIGIN_GRID_ID1685 4.0746079 0.1295741 31.446 < 2e-16 ***
ORIGIN_GRID_ID1686 3.9330895 0.1295777 30.353 < 2e-16 ***
ORIGIN_GRID_ID1687 3.5154650 0.1296895 27.107 < 2e-16 ***
ORIGIN_GRID_ID1688 3.0532081 0.1297673 23.528 < 2e-16 ***
ORIGIN_GRID_ID1689 2.6536870 0.1301593 20.388 < 2e-16 ***
ORIGIN_GRID_ID1690 4.1712981 0.1296322 32.178 < 2e-16 ***
ORIGIN_GRID_ID1691 4.9626838 0.1295359 38.311 < 2e-16 ***
ORIGIN_GRID_ID1692 4.5589933 0.1297324 35.142 < 2e-16 ***
ORIGIN_GRID_ID1706 4.0081407 0.1296277 30.920 < 2e-16 ***
ORIGIN_GRID_ID1707 3.9637852 0.1295615 30.594 < 2e-16 ***
ORIGIN_GRID_ID1708 4.4675242 0.1295254 34.492 < 2e-16 ***
ORIGIN_GRID_ID1709 3.6166428 0.1296352 27.899 < 2e-16 ***
ORIGIN_GRID_ID1710 4.7904753 0.1295294 36.984 < 2e-16 ***
ORIGIN_GRID_ID1711 4.5356287 0.1295667 35.006 < 2e-16 ***
ORIGIN_GRID_ID1712 5.2217263 0.1295048 40.321 < 2e-16 ***
ORIGIN_GRID_ID1713 2.8477872 0.1301703 21.877 < 2e-16 ***
ORIGIN_GRID_ID1714 5.5210310 0.1295493 42.617 < 2e-16 ***
ORIGIN_GRID_ID1727 4.2674021 0.1295737 32.934 < 2e-16 ***
ORIGIN_GRID_ID1728 4.0791378 0.1295581 31.485 < 2e-16 ***
ORIGIN_GRID_ID1729 3.5449555 0.1295996 27.353 < 2e-16 ***
ORIGIN_GRID_ID1730 1.5892433 0.1315346 12.082 < 2e-16 ***
ORIGIN_GRID_ID1731 4.3869675 0.1295665 33.859 < 2e-16 ***
ORIGIN_GRID_ID1732 4.9073625 0.1295147 37.890 < 2e-16 ***
ORIGIN_GRID_ID1733 4.7065179 0.1295402 36.332 < 2e-16 ***
ORIGIN_GRID_ID1734 5.1276524 0.1295342 39.585 < 2e-16 ***
ORIGIN_GRID_ID1735 6.8799905 0.1296343 53.072 < 2e-16 ***
ORIGIN_GRID_ID1748 2.9361434 0.1298859 22.606 < 2e-16 ***
ORIGIN_GRID_ID1749 3.9056168 0.1295685 30.143 < 2e-16 ***
ORIGIN_GRID_ID1750 3.0562456 0.1296990 23.564 < 2e-16 ***
ORIGIN_GRID_ID1751 2.4420610 0.1299549 18.792 < 2e-16 ***
ORIGIN_GRID_ID1753 4.9711435 0.1295192 38.382 < 2e-16 ***
ORIGIN_GRID_ID1754 5.3337544 0.1295023 41.187 < 2e-16 ***
ORIGIN_GRID_ID1755 4.8917895 0.1295362 37.764 < 2e-16 ***
ORIGIN_GRID_ID1756 4.8391742 0.1295775 37.346 < 2e-16 ***
ORIGIN_GRID_ID1757 2.8529716 0.1338373 21.317 < 2e-16 ***
ORIGIN_GRID_ID1769 3.7838460 0.1296145 29.193 < 2e-16 ***
ORIGIN_GRID_ID1770 3.3796181 0.1299016 26.017 < 2e-16 ***
ORIGIN_GRID_ID1771 2.5103268 0.1299741 19.314 < 2e-16 ***
ORIGIN_GRID_ID1772 1.2899587 0.1322767 9.752 < 2e-16 ***
ORIGIN_GRID_ID1774 4.6851876 0.1295339 36.170 < 2e-16 ***
ORIGIN_GRID_ID1775 4.3544664 0.1295849 33.603 < 2e-16 ***
ORIGIN_GRID_ID1776 5.5403866 0.1295063 42.781 < 2e-16 ***
ORIGIN_GRID_ID1777 5.6145983 0.1295223 43.349 < 2e-16 ***
ORIGIN_GRID_ID1778 5.4232319 0.1300764 41.693 < 2e-16 ***
ORIGIN_GRID_ID1790 4.4477112 0.1295638 34.328 < 2e-16 ***
ORIGIN_GRID_ID1791 3.7901891 0.1296403 29.236 < 2e-16 ***
ORIGIN_GRID_ID1792 3.7807792 0.1296572 29.160 < 2e-16 ***
ORIGIN_GRID_ID1793 1.6174918 0.1304368 12.401 < 2e-16 ***
ORIGIN_GRID_ID1794 1.5863784 0.1326581 11.958 < 2e-16 ***
ORIGIN_GRID_ID1795 1.1702834 0.1339635 8.736 < 2e-16 ***
ORIGIN_GRID_ID1796 5.2011851 0.1295350 40.153 < 2e-16 ***
ORIGIN_GRID_ID1797 5.2007105 0.1295211 40.153 < 2e-16 ***
ORIGIN_GRID_ID1798 5.2566245 0.1295215 40.585 < 2e-16 ***
ORIGIN_GRID_ID1799 4.5086765 0.1296983 34.763 < 2e-16 ***
ORIGIN_GRID_ID1800 3.8509753 0.1324888 29.066 < 2e-16 ***
ORIGIN_GRID_ID1811 3.5362925 0.1296982 27.266 < 2e-16 ***
ORIGIN_GRID_ID1812 4.6886953 0.1295128 36.203 < 2e-16 ***
ORIGIN_GRID_ID1813 4.4860516 0.1295226 34.635 < 2e-16 ***
ORIGIN_GRID_ID1817 5.1020246 0.1295744 39.375 < 2e-16 ***
ORIGIN_GRID_ID1818 5.0506360 0.1295420 38.988 < 2e-16 ***
ORIGIN_GRID_ID1819 5.5558645 0.1295159 42.897 < 2e-16 ***
ORIGIN_GRID_ID1820 2.7786262 0.1346301 20.639 < 2e-16 ***
ORIGIN_GRID_ID1832 4.2234358 0.1295877 32.591 < 2e-16 ***
ORIGIN_GRID_ID1833 3.7691957 0.1296123 29.081 < 2e-16 ***
ORIGIN_GRID_ID1834 4.1157896 0.1295453 31.771 < 2e-16 ***
ORIGIN_GRID_ID1835 3.4028058 0.1296932 26.237 < 2e-16 ***
ORIGIN_GRID_ID1837 0.6487398 0.1440852 4.502 6.72e-06 ***
ORIGIN_GRID_ID1839 4.5123790 0.1296771 34.797 < 2e-16 ***
ORIGIN_GRID_ID1840 6.3155314 0.1294905 48.772 < 2e-16 ***
ORIGIN_GRID_ID1841 1.8222908 0.1374095 13.262 < 2e-16 ***
ORIGIN_GRID_ID1842 6.2900132 0.1299797 48.392 < 2e-16 ***
ORIGIN_GRID_ID1853 4.1833084 0.1295624 32.288 < 2e-16 ***
ORIGIN_GRID_ID1854 4.3782363 0.1295526 33.795 < 2e-16 ***
ORIGIN_GRID_ID1855 4.6865056 0.1295311 36.181 < 2e-16 ***
ORIGIN_GRID_ID1858 2.4701416 0.1322826 18.673 < 2e-16 ***
ORIGIN_GRID_ID1860 5.8422113 0.1297687 45.020 < 2e-16 ***
ORIGIN_GRID_ID1861 5.3003289 0.1295478 40.914 < 2e-16 ***
ORIGIN_GRID_ID1874 4.3349294 0.1296206 33.443 < 2e-16 ***
ORIGIN_GRID_ID1875 2.6918340 0.1301927 20.676 < 2e-16 ***
ORIGIN_GRID_ID1876 4.7533297 0.1299394 36.581 < 2e-16 ***
ORIGIN_GRID_ID1877 4.4058244 0.1295543 34.008 < 2e-16 ***
ORIGIN_GRID_ID1880 0.8414193 0.1385237 6.074 1.25e-09 ***
ORIGIN_GRID_ID1882 5.1464119 0.1295600 39.722 < 2e-16 ***
ORIGIN_GRID_ID1883 5.6665870 0.1297963 43.658 < 2e-16 ***
ORIGIN_GRID_ID1895 4.4713043 0.1295540 34.513 < 2e-16 ***
ORIGIN_GRID_ID1896 2.8490971 0.1298536 21.941 < 2e-16 ***
ORIGIN_GRID_ID1897 3.4797567 0.1298036 26.808 < 2e-16 ***
ORIGIN_GRID_ID1898 -0.9007228 0.1987324 -4.532 5.83e-06 ***
ORIGIN_GRID_ID1901 0.7167528 0.1483662 4.831 1.36e-06 ***
ORIGIN_GRID_ID1903 5.0671462 0.1297827 39.043 < 2e-16 ***
ORIGIN_GRID_ID1917 2.9908502 0.1298537 23.032 < 2e-16 ***
ORIGIN_GRID_ID1918 4.5064227 0.1296026 34.771 < 2e-16 ***
ORIGIN_GRID_ID1919 4.3742247 0.1295716 33.759 < 2e-16 ***
ORIGIN_GRID_ID1922 2.2147164 0.1325120 16.713 < 2e-16 ***
ORIGIN_GRID_ID1924 4.8773986 0.1298234 37.569 < 2e-16 ***
ORIGIN_GRID_ID1937 3.8206609 0.1296646 29.466 < 2e-16 ***
ORIGIN_GRID_ID1938 4.5146459 0.1295401 34.851 < 2e-16 ***
ORIGIN_GRID_ID1939 5.1001144 0.1295282 39.375 < 2e-16 ***
ORIGIN_GRID_ID1942 1.0324386 0.1374806 7.510 5.93e-14 ***
ORIGIN_GRID_ID1959 3.4203092 0.1297809 26.354 < 2e-16 ***
ORIGIN_GRID_ID1960 5.3955995 0.1294925 41.667 < 2e-16 ***
ORIGIN_GRID_ID1961 3.8297833 0.1296616 29.537 < 2e-16 ***
ORIGIN_GRID_ID1962 4.8745811 0.1295354 37.631 < 2e-16 ***
ORIGIN_GRID_ID1964 0.1864415 0.1555351 1.199 0.230641
ORIGIN_GRID_ID1979 3.7181561 0.1297317 28.660 < 2e-16 ***
ORIGIN_GRID_ID1980 2.0364481 0.1303160 15.627 < 2e-16 ***
ORIGIN_GRID_ID1981 4.5057261 0.1295370 34.783 < 2e-16 ***
ORIGIN_GRID_ID1982 3.5177346 0.1299868 27.062 < 2e-16 ***
ORIGIN_GRID_ID1983 4.7814982 0.1295387 36.912 < 2e-16 ***
ORIGIN_GRID_ID1984 3.4782341 0.1297132 26.815 < 2e-16 ***
ORIGIN_GRID_ID1985 4.2742125 0.1296214 32.975 < 2e-16 ***
ORIGIN_GRID_ID2001 4.0247064 0.1296068 31.053 < 2e-16 ***
ORIGIN_GRID_ID2002 4.5939606 0.1295193 35.469 < 2e-16 ***
ORIGIN_GRID_ID2003 4.2481805 0.1295660 32.788 < 2e-16 ***
ORIGIN_GRID_ID2004 4.8449892 0.1295348 37.403 < 2e-16 ***
ORIGIN_GRID_ID2005 4.7527914 0.1295299 36.693 < 2e-16 ***
ORIGIN_GRID_ID2006 3.2864724 0.1298299 25.314 < 2e-16 ***
ORIGIN_GRID_ID2007 2.7439114 0.1305454 21.019 < 2e-16 ***
ORIGIN_GRID_ID2022 4.3784896 0.1296101 33.782 < 2e-16 ***
ORIGIN_GRID_ID2023 4.8561397 0.1295160 37.495 < 2e-16 ***
ORIGIN_GRID_ID2024 4.1542669 0.1295560 32.065 < 2e-16 ***
ORIGIN_GRID_ID2025 4.2169793 0.1295486 32.551 < 2e-16 ***
ORIGIN_GRID_ID2026 2.9201910 0.1300222 22.459 < 2e-16 ***
ORIGIN_GRID_ID2027 5.1606337 0.1295248 39.843 < 2e-16 ***
ORIGIN_GRID_ID2043 3.7377516 0.1297095 28.816 < 2e-16 ***
ORIGIN_GRID_ID2044 4.4636274 0.1295342 34.459 < 2e-16 ***
ORIGIN_GRID_ID2045 -0.0212320 0.1514585 -0.140 0.888515
ORIGIN_GRID_ID2046 4.3997735 0.1295238 33.969 < 2e-16 ***
ORIGIN_GRID_ID2047 4.2323301 0.1295729 32.664 < 2e-16 ***
ORIGIN_GRID_ID2048 4.4782133 0.1295482 34.568 < 2e-16 ***
ORIGIN_GRID_ID2049 3.5591754 0.1302141 27.333 < 2e-16 ***
ORIGIN_GRID_ID2064 4.4331496 0.1295630 34.216 < 2e-16 ***
ORIGIN_GRID_ID2065 2.8770447 0.1297752 22.169 < 2e-16 ***
ORIGIN_GRID_ID2066 2.2398769 0.1319895 16.970 < 2e-16 ***
ORIGIN_GRID_ID2067 5.6565188 0.1294887 43.683 < 2e-16 ***
ORIGIN_GRID_ID2068 4.0353594 0.1296607 31.122 < 2e-16 ***
ORIGIN_GRID_ID2069 4.3594690 0.1295855 33.642 < 2e-16 ***
ORIGIN_GRID_ID2085 3.3052739 0.1298518 25.454 < 2e-16 ***
ORIGIN_GRID_ID2086 4.7312367 0.1295289 36.527 < 2e-16 ***
ORIGIN_GRID_ID2087 3.3434085 0.1296897 25.780 < 2e-16 ***
ORIGIN_GRID_ID2088 4.0681396 0.1295497 31.402 < 2e-16 ***
ORIGIN_GRID_ID2089 3.8465707 0.1296358 29.672 < 2e-16 ***
ORIGIN_GRID_ID2090 5.3530284 0.1295080 41.334 < 2e-16 ***
ORIGIN_GRID_ID2091 0.6272784 0.1491060 4.207 2.59e-05 ***
ORIGIN_GRID_ID2105 1.3762062 0.1729928 7.955 1.79e-15 ***
ORIGIN_GRID_ID2106 1.6416363 0.1310556 12.526 < 2e-16 ***
ORIGIN_GRID_ID2107 2.7480620 0.1298307 21.166 < 2e-16 ***
ORIGIN_GRID_ID2108 4.0263186 0.1295913 31.069 < 2e-16 ***
ORIGIN_GRID_ID2109 4.1368436 0.1295454 31.934 < 2e-16 ***
ORIGIN_GRID_ID2110 3.5824107 0.1296842 27.624 < 2e-16 ***
ORIGIN_GRID_ID2111 0.6700390 0.1387166 4.830 1.36e-06 ***
ORIGIN_GRID_ID2128 2.4359535 0.1303538 18.687 < 2e-16 ***
ORIGIN_GRID_ID2129 1.8833465 0.1304877 14.433 < 2e-16 ***
ORIGIN_GRID_ID2130 4.5947032 0.1295218 35.474 < 2e-16 ***
ORIGIN_GRID_ID2131 4.9282000 0.1295443 38.043 < 2e-16 ***
ORIGIN_GRID_ID2132 3.8554910 0.1296144 29.746 < 2e-16 ***
ORIGIN_GRID_ID2148 3.3581574 0.1300295 25.826 < 2e-16 ***
ORIGIN_GRID_ID2149 1.9142023 0.1305527 14.662 < 2e-16 ***
ORIGIN_GRID_ID2150 4.4704212 0.1295493 34.507 < 2e-16 ***
ORIGIN_GRID_ID2151 4.9488778 0.1295102 38.212 < 2e-16 ***
ORIGIN_GRID_ID2152 5.1196802 0.1295184 39.529 < 2e-16 ***
ORIGIN_GRID_ID2153 4.4747507 0.1295865 34.531 < 2e-16 ***
ORIGIN_GRID_ID2171 3.4566020 0.1296859 26.654 < 2e-16 ***
ORIGIN_GRID_ID2172 3.5849907 0.1297190 27.637 < 2e-16 ***
ORIGIN_GRID_ID2173 4.1226858 0.1295682 31.819 < 2e-16 ***
ORIGIN_GRID_ID2174 4.4003538 0.1295764 33.960 < 2e-16 ***
ORIGIN_GRID_ID2191 3.1016828 0.1299305 23.872 < 2e-16 ***
ORIGIN_GRID_ID2192 2.8466244 0.1299961 21.898 < 2e-16 ***
ORIGIN_GRID_ID2193 3.7757363 0.1296222 29.129 < 2e-16 ***
ORIGIN_GRID_ID2194 4.2211959 0.1295703 32.578 < 2e-16 ***
ORIGIN_GRID_ID2195 3.5912065 0.1313733 27.336 < 2e-16 ***
ORIGIN_GRID_ID2212 0.3512218 0.1659238 2.117 0.034280 *
ORIGIN_GRID_ID2213 0.7193927 0.1369992 5.251 1.51e-07 ***
ORIGIN_GRID_ID2214 1.2875162 0.1325143 9.716 < 2e-16 ***
ORIGIN_GRID_ID2215 3.8536052 0.1296645 29.720 < 2e-16 ***
ORIGIN_GRID_ID2216 2.8738646 0.1299665 22.112 < 2e-16 ***
ORIGIN_GRID_ID2233 0.9638811 0.1386279 6.953 3.58e-12 ***
ORIGIN_GRID_ID2234 2.6929695 0.1311608 20.532 < 2e-16 ***
ORIGIN_GRID_ID2235 2.6459011 0.1302387 20.316 < 2e-16 ***
ORIGIN_GRID_ID2236 2.6638729 0.1301336 20.470 < 2e-16 ***
ORIGIN_GRID_ID2237 0.3779135 0.1434848 2.634 0.008443 **
ORIGIN_GRID_ID2256 0.3960913 0.1369530 2.892 0.003826 **
ORIGIN_GRID_ID2257 2.4052035 0.1310821 18.349 < 2e-16 ***
ORIGIN_GRID_ID2258 1.9344473 0.1305465 14.818 < 2e-16 ***
ORIGIN_GRID_ID2259 1.4119817 0.1354761 10.422 < 2e-16 ***
ORIGIN_GRID_ID2277 2.5901320 0.1350260 19.182 < 2e-16 ***
ORIGIN_GRID_ID2278 2.9789131 0.1305063 22.826 < 2e-16 ***
ORIGIN_GRID_ID2279 1.5489447 0.1311234 11.813 < 2e-16 ***
ORIGIN_GRID_ID2280 -0.6829078 0.1861325 -3.669 0.000244 ***
ORIGIN_GRID_ID2297 4.4047659 0.1298340 33.926 < 2e-16 ***
ORIGIN_GRID_ID2300 0.2740099 0.1471373 1.862 0.062565 .
ORIGIN_GRID_ID2301 1.8788056 0.1310340 14.338 < 2e-16 ***
ORIGIN_GRID_ID2318 2.4764658 0.1309815 18.907 < 2e-16 ***
ORIGIN_GRID_ID2319 3.0715016 0.1299807 23.630 < 2e-16 ***
ORIGIN_GRID_ID2322 2.9809427 0.1301247 22.908 < 2e-16 ***
ORIGIN_GRID_ID2337 4.0314998 0.1307171 30.841 < 2e-16 ***
ORIGIN_GRID_ID2341 3.4439324 0.1299081 26.511 < 2e-16 ***
ORIGIN_GRID_ID2343 2.2924161 0.1303175 17.591 < 2e-16 ***
ORIGIN_GRID_ID2361 3.1653603 0.1301144 24.328 < 2e-16 ***
ORIGIN_GRID_ID2364 -0.9598717 0.1610771 -5.959 2.54e-09 ***
ORIGIN_GRID_ID2379 3.4030193 0.1311183 25.954 < 2e-16 ***
ORIGIN_GRID_ID2384 2.0318912 0.1306699 15.550 < 2e-16 ***
ORIGIN_GRID_ID2405 1.6597664 0.1308169 12.688 < 2e-16 ***
ORIGIN_GRID_ID2406 0.4161095 0.1355219 3.070 0.002138 **
ORIGIN_GRID_ID2426 1.1372938 0.1337444 8.503 < 2e-16 ***
ORIGIN_GRID_ID2427 2.9696569 0.1300218 22.840 < 2e-16 ***
ORIGIN_GRID_ID2505 3.2509457 0.1375646 23.632 < 2e-16 ***
DESTIN_GRID_ID44 1.4610699 0.0599516 24.371 < 2e-16 ***
DESTIN_GRID_ID46 0.5268457 0.0595126 8.853 < 2e-16 ***
DESTIN_GRID_ID66 -0.3356421 0.0737223 -4.553 5.29e-06 ***
DESTIN_GRID_ID67 0.4615278 0.0576908 8.000 1.24e-15 ***
DESTIN_GRID_ID68 0.1698465 0.0596451 2.848 0.004405 **
DESTIN_GRID_ID86 0.5425684 0.0661282 8.205 2.31e-16 ***
DESTIN_GRID_ID87 -2.8429225 0.1051627 -27.034 < 2e-16 ***
DESTIN_GRID_ID88 -0.0387740 0.0586941 -0.661 0.508862
DESTIN_GRID_ID89 -0.5752329 0.0601924 -9.557 < 2e-16 ***
DESTIN_GRID_ID90 -3.6914168 0.7095101 -5.203 1.96e-07 ***
DESTIN_GRID_ID109 -0.3567290 0.0610855 -5.840 5.23e-09 ***
DESTIN_GRID_ID110 -3.3114581 0.1302724 -25.419 < 2e-16 ***
DESTIN_GRID_ID111 1.1089680 0.0570279 19.446 < 2e-16 ***
DESTIN_GRID_ID112 -2.3681041 0.0649370 -36.468 < 2e-16 ***
DESTIN_GRID_ID128 1.1984646 0.0610733 19.623 < 2e-16 ***
DESTIN_GRID_ID129 -4.2971646 0.1496889 -28.707 < 2e-16 ***
DESTIN_GRID_ID130 -0.5709847 0.0605596 -9.428 < 2e-16 ***
DESTIN_GRID_ID131 -1.2930114 0.0602786 -21.451 < 2e-16 ***
DESTIN_GRID_ID132 -0.7767828 0.0576409 -13.476 < 2e-16 ***
DESTIN_GRID_ID133 -0.6741147 0.0570096 -11.825 < 2e-16 ***
DESTIN_GRID_ID134 -0.5411679 0.0568437 -9.520 < 2e-16 ***
DESTIN_GRID_ID150 -0.1516506 0.0654708 -2.316 0.020541 *
DESTIN_GRID_ID151 -0.4658215 0.0603680 -7.716 1.20e-14 ***
DESTIN_GRID_ID152 0.4810085 0.0578593 8.313 < 2e-16 ***
DESTIN_GRID_ID153 0.0278521 0.0575516 0.484 0.628422
DESTIN_GRID_ID154 -2.1271742 0.0625232 -34.022 < 2e-16 ***
DESTIN_GRID_ID155 -1.7376108 0.0590421 -29.430 < 2e-16 ***
DESTIN_GRID_ID156 -1.6110436 0.0601239 -26.795 < 2e-16 ***
DESTIN_GRID_ID172 -1.5324519 0.0719054 -21.312 < 2e-16 ***
DESTIN_GRID_ID174 -1.0441369 0.0579117 -18.030 < 2e-16 ***
DESTIN_GRID_ID175 -0.6305106 0.0566495 -11.130 < 2e-16 ***
DESTIN_GRID_ID176 -1.9811328 0.0631762 -31.359 < 2e-16 ***
DESTIN_GRID_ID195 -2.3425966 0.0638239 -36.704 < 2e-16 ***
DESTIN_GRID_ID196 -0.8985668 0.0566385 -15.865 < 2e-16 ***
DESTIN_GRID_ID197 -4.1074879 0.0951995 -43.146 < 2e-16 ***
DESTIN_GRID_ID215 -0.3849170 0.0633992 -6.071 1.27e-09 ***
DESTIN_GRID_ID216 -0.5207832 0.0579500 -8.987 < 2e-16 ***
DESTIN_GRID_ID217 -0.1915740 0.0565092 -3.390 0.000699 ***
DESTIN_GRID_ID237 -2.4959554 0.0637312 -39.164 < 2e-16 ***
DESTIN_GRID_ID238 -1.5021061 0.0578239 -25.977 < 2e-16 ***
DESTIN_GRID_ID239 -1.7822038 0.0639682 -27.861 < 2e-16 ***
DESTIN_GRID_ID257 0.4623821 0.0582248 7.941 2.00e-15 ***
DESTIN_GRID_ID258 -1.4136448 0.0590904 -23.923 < 2e-16 ***
DESTIN_GRID_ID259 -0.3061241 0.0570391 -5.367 8.01e-08 ***
DESTIN_GRID_ID278 0.8349381 0.0577004 14.470 < 2e-16 ***
DESTIN_GRID_ID279 -0.8919886 0.0574079 -15.538 < 2e-16 ***
DESTIN_GRID_ID280 -0.6317467 0.0572375 -11.037 < 2e-16 ***
DESTIN_GRID_ID298 -3.8458707 0.1609022 -23.902 < 2e-16 ***
DESTIN_GRID_ID299 -0.6039604 0.0581484 -10.387 < 2e-16 ***
DESTIN_GRID_ID300 -1.1767813 0.0584309 -20.140 < 2e-16 ***
DESTIN_GRID_ID320 0.7201096 0.0576187 12.498 < 2e-16 ***
DESTIN_GRID_ID321 -1.5464447 0.0608598 -25.410 < 2e-16 ***
DESTIN_GRID_ID322 -0.2943587 0.0571107 -5.154 2.55e-07 ***
DESTIN_GRID_ID340 1.4336843 0.0569572 25.171 < 2e-16 ***
DESTIN_GRID_ID341 -0.0627381 0.0571590 -1.098 0.272376
DESTIN_GRID_ID342 -0.4193694 0.0568467 -7.377 1.62e-13 ***
DESTIN_GRID_ID363 -0.4359403 0.0574612 -7.587 3.28e-14 ***
DESTIN_GRID_ID364 -0.4353339 0.0564071 -7.718 1.18e-14 ***
DESTIN_GRID_ID383 0.5820039 0.0566172 10.280 < 2e-16 ***
DESTIN_GRID_ID384 -0.6234082 0.0564973 -11.034 < 2e-16 ***
DESTIN_GRID_ID385 -1.6072532 0.0579213 -27.749 < 2e-16 ***
DESTIN_GRID_ID404 0.7134065 0.0572976 12.451 < 2e-16 ***
DESTIN_GRID_ID405 -0.0229839 0.0568779 -0.404 0.686145
DESTIN_GRID_ID406 0.3153790 0.0561297 5.619 1.92e-08 ***
DESTIN_GRID_ID407 -0.2016686 0.0567608 -3.553 0.000381 ***
DESTIN_GRID_ID408 0.9741113 0.0561943 17.335 < 2e-16 ***
DESTIN_GRID_ID425 -1.6595213 0.0611864 -27.122 < 2e-16 ***
DESTIN_GRID_ID426 -1.0812839 0.0568129 -19.032 < 2e-16 ***
DESTIN_GRID_ID427 -3.7453586 0.0618388 -60.566 < 2e-16 ***
DESTIN_GRID_ID428 -1.1675551 0.0571924 -20.415 < 2e-16 ***
DESTIN_GRID_ID429 -1.3551882 0.0608753 -22.262 < 2e-16 ***
DESTIN_GRID_ID446 -0.4429953 0.0605244 -7.319 2.49e-13 ***
DESTIN_GRID_ID447 -1.2773973 0.0584571 -21.852 < 2e-16 ***
DESTIN_GRID_ID448 -1.5924450 0.0570796 -27.899 < 2e-16 ***
DESTIN_GRID_ID449 -0.9527828 0.0563947 -16.895 < 2e-16 ***
DESTIN_GRID_ID450 -1.5568039 0.0573869 -27.128 < 2e-16 ***
DESTIN_GRID_ID468 -0.9247058 0.0569329 -16.242 < 2e-16 ***
DESTIN_GRID_ID469 -1.4706087 0.0565725 -25.995 < 2e-16 ***
DESTIN_GRID_ID470 -1.2795145 0.0564335 -22.673 < 2e-16 ***
DESTIN_GRID_ID471 -1.1073576 0.0585916 -18.900 < 2e-16 ***
DESTIN_GRID_ID488 -0.5184509 0.0602408 -8.606 < 2e-16 ***
DESTIN_GRID_ID489 -2.6036607 0.0737457 -35.306 < 2e-16 ***
DESTIN_GRID_ID490 -0.6908185 0.0565754 -12.211 < 2e-16 ***
DESTIN_GRID_ID491 -3.1780955 0.0584079 -54.412 < 2e-16 ***
DESTIN_GRID_ID493 -3.5119478 0.0743175 -47.256 < 2e-16 ***
DESTIN_GRID_ID494 -1.7166221 0.0605733 -28.340 < 2e-16 ***
DESTIN_GRID_ID509 -0.1604207 0.0580366 -2.764 0.005708 **
DESTIN_GRID_ID510 -0.4352831 0.0568441 -7.657 1.90e-14 ***
DESTIN_GRID_ID511 -1.2167976 0.0563565 -21.591 < 2e-16 ***
DESTIN_GRID_ID512 -1.5345981 0.0563860 -27.216 < 2e-16 ***
DESTIN_GRID_ID513 -0.3745261 0.0565800 -6.619 3.61e-11 ***
DESTIN_GRID_ID514 -0.6766611 0.0572336 -11.823 < 2e-16 ***
DESTIN_GRID_ID515 -2.1744748 0.0645579 -33.683 < 2e-16 ***
DESTIN_GRID_ID530 -0.7794013 0.0630744 -12.357 < 2e-16 ***
DESTIN_GRID_ID531 1.4297443 0.0562899 25.400 < 2e-16 ***
DESTIN_GRID_ID532 -0.9750363 0.0566323 -17.217 < 2e-16 ***
DESTIN_GRID_ID533 0.1811368 0.0560245 3.233 0.001224 **
DESTIN_GRID_ID534 -1.3081861 0.0563872 -23.200 < 2e-16 ***
DESTIN_GRID_ID536 -1.5897228 0.0589097 -26.986 < 2e-16 ***
DESTIN_GRID_ID537 -2.3757446 0.0658895 -36.057 < 2e-16 ***
DESTIN_GRID_ID538 -2.7100740 0.0714091 -37.951 < 2e-16 ***
DESTIN_GRID_ID539 -5.0321516 0.2730833 -18.427 < 2e-16 ***
DESTIN_GRID_ID551 -0.1724314 0.0587456 -2.935 0.003333 **
DESTIN_GRID_ID552 0.2275552 0.0569909 3.993 6.53e-05 ***
DESTIN_GRID_ID553 -1.7428541 0.0566214 -30.781 < 2e-16 ***
DESTIN_GRID_ID554 -1.8164249 0.0564052 -32.203 < 2e-16 ***
DESTIN_GRID_ID555 -0.5618273 0.0564861 -9.946 < 2e-16 ***
DESTIN_GRID_ID559 -2.8255867 0.0775973 -36.413 < 2e-16 ***
DESTIN_GRID_ID560 -0.4882698 0.0585018 -8.346 < 2e-16 ***
DESTIN_GRID_ID561 -2.8699939 0.0877732 -32.698 < 2e-16 ***
DESTIN_GRID_ID572 -1.0880331 0.0657350 -16.552 < 2e-16 ***
DESTIN_GRID_ID573 0.5929914 0.0569392 10.414 < 2e-16 ***
DESTIN_GRID_ID574 -1.2334047 0.0581389 -21.215 < 2e-16 ***
DESTIN_GRID_ID575 1.2163545 0.0559811 21.728 < 2e-16 ***
DESTIN_GRID_ID576 -1.4208907 0.0563273 -25.226 < 2e-16 ***
DESTIN_GRID_ID578 -4.7814343 0.1209528 -39.531 < 2e-16 ***
DESTIN_GRID_ID582 -3.0782528 0.0844724 -36.441 < 2e-16 ***
DESTIN_GRID_ID583 -4.9551914 0.3820981 -12.968 < 2e-16 ***
DESTIN_GRID_ID584 -1.5041341 0.0666759 -22.559 < 2e-16 ***
DESTIN_GRID_ID593 -1.7191918 0.0615438 -27.934 < 2e-16 ***
DESTIN_GRID_ID594 -0.4113533 0.0577054 -7.129 1.01e-12 ***
DESTIN_GRID_ID595 -0.6262470 0.0562647 -11.130 < 2e-16 ***
DESTIN_GRID_ID596 -1.2127737 0.0561870 -21.585 < 2e-16 ***
DESTIN_GRID_ID597 -1.6851133 0.0581003 -29.004 < 2e-16 ***
DESTIN_GRID_ID603 -2.6302551 0.0769900 -34.164 < 2e-16 ***
DESTIN_GRID_ID604 -2.1680858 0.0755914 -28.682 < 2e-16 ***
DESTIN_GRID_ID615 -1.3246859 0.0578840 -22.885 < 2e-16 ***
DESTIN_GRID_ID616 -0.8465800 0.0567004 -14.931 < 2e-16 ***
DESTIN_GRID_ID617 -1.9388052 0.0567127 -34.186 < 2e-16 ***
DESTIN_GRID_ID618 -1.4344561 0.0563682 -25.448 < 2e-16 ***
DESTIN_GRID_ID620 -1.2854927 0.0571318 -22.500 < 2e-16 ***
DESTIN_GRID_ID637 -1.3516205 0.0570347 -23.698 < 2e-16 ***
DESTIN_GRID_ID638 -1.4138849 0.0563064 -25.111 < 2e-16 ***
DESTIN_GRID_ID657 0.0107152 0.0564147 0.190 0.849360
DESTIN_GRID_ID658 -0.7058668 0.0563114 -12.535 < 2e-16 ***
DESTIN_GRID_ID659 -1.0164890 0.0562735 -18.063 < 2e-16 ***
DESTIN_GRID_ID660 -0.6140699 0.0561341 -10.939 < 2e-16 ***
DESTIN_GRID_ID662 -1.1791358 0.0573447 -20.562 < 2e-16 ***
DESTIN_GRID_ID677 0.0748666 0.0567715 1.319 0.187258
DESTIN_GRID_ID678 -1.8428042 0.0577264 -31.923 < 2e-16 ***
DESTIN_GRID_ID679 -0.4158101 0.0561992 -7.399 1.37e-13 ***
DESTIN_GRID_ID680 1.0278618 0.0560190 18.348 < 2e-16 ***
DESTIN_GRID_ID681 -2.8599678 0.0596472 -47.948 < 2e-16 ***
DESTIN_GRID_ID699 -0.5090672 0.0567112 -8.976 < 2e-16 ***
DESTIN_GRID_ID700 -1.0519602 0.0564480 -18.636 < 2e-16 ***
DESTIN_GRID_ID701 -3.5339314 0.0605694 -58.345 < 2e-16 ***
DESTIN_GRID_ID702 -0.8271455 0.0561888 -14.721 < 2e-16 ***
DESTIN_GRID_ID704 -1.7034718 0.0571033 -29.831 < 2e-16 ***
DESTIN_GRID_ID722 -1.5862609 0.0566965 -27.978 < 2e-16 ***
DESTIN_GRID_ID725 -3.8728384 0.0624696 -61.996 < 2e-16 ***
DESTIN_GRID_ID741 0.0392697 0.0564653 0.695 0.486763
DESTIN_GRID_ID743 -3.7050615 0.0612027 -60.538 < 2e-16 ***
DESTIN_GRID_ID744 -0.7625322 0.0561966 -13.569 < 2e-16 ***
DESTIN_GRID_ID761 0.3348697 0.0566392 5.912 3.37e-09 ***
DESTIN_GRID_ID762 -1.7406872 0.0577587 -30.137 < 2e-16 ***
DESTIN_GRID_ID763 -3.3305642 0.0602167 -55.310 < 2e-16 ***
DESTIN_GRID_ID764 -0.2480610 0.0560918 -4.422 9.76e-06 ***
DESTIN_GRID_ID765 -1.0957001 0.0568309 -19.280 < 2e-16 ***
DESTIN_GRID_ID767 -1.3827795 0.0564507 -24.495 < 2e-16 ***
DESTIN_GRID_ID772 -2.3042872 0.0697004 -33.060 < 2e-16 ***
DESTIN_GRID_ID784 -3.1495557 0.0605078 -52.052 < 2e-16 ***
DESTIN_GRID_ID785 -1.2005457 0.0562720 -21.335 < 2e-16 ***
DESTIN_GRID_ID786 -1.0876295 0.0562036 -19.352 < 2e-16 ***
DESTIN_GRID_ID787 -1.9154086 0.0570940 -33.548 < 2e-16 ***
DESTIN_GRID_ID788 -3.4215223 0.0585593 -58.428 < 2e-16 ***
DESTIN_GRID_ID789 -3.5948161 0.0590513 -60.876 < 2e-16 ***
DESTIN_GRID_ID803 -0.8733909 0.0577475 -15.124 < 2e-16 ***
DESTIN_GRID_ID804 -0.3487188 0.0563526 -6.188 6.09e-10 ***
DESTIN_GRID_ID805 0.5832728 0.0560457 10.407 < 2e-16 ***
DESTIN_GRID_ID806 -1.3031895 0.0562876 -23.152 < 2e-16 ***
DESTIN_GRID_ID807 -1.2828651 0.0564824 -22.713 < 2e-16 ***
DESTIN_GRID_ID808 -2.6934061 0.0588339 -45.780 < 2e-16 ***
DESTIN_GRID_ID809 -1.5036401 0.0562607 -26.726 < 2e-16 ***
DESTIN_GRID_ID810 -1.8304299 0.0566427 -32.315 < 2e-16 ***
DESTIN_GRID_ID814 -1.2222994 0.0598103 -20.436 < 2e-16 ***
DESTIN_GRID_ID819 -0.3485719 0.0584557 -5.963 2.48e-09 ***
DESTIN_GRID_ID824 -0.6543714 0.0577081 -11.339 < 2e-16 ***
DESTIN_GRID_ID826 -0.9557664 0.0563166 -16.971 < 2e-16 ***
DESTIN_GRID_ID827 -1.3277900 0.0563779 -23.552 < 2e-16 ***
DESTIN_GRID_ID828 -1.1629982 0.0562230 -20.685 < 2e-16 ***
DESTIN_GRID_ID829 -1.6129599 0.0566044 -28.495 < 2e-16 ***
DESTIN_GRID_ID830 -3.1434561 0.0579229 -54.270 < 2e-16 ***
DESTIN_GRID_ID831 0.4101318 0.0560476 7.318 2.53e-13 ***
DESTIN_GRID_ID832 0.0261656 0.0561494 0.466 0.641216
DESTIN_GRID_ID835 -1.6494277 0.0598979 -27.537 < 2e-16 ***
DESTIN_GRID_ID844 -0.9329556 0.0590085 -15.811 < 2e-16 ***
DESTIN_GRID_ID846 -0.9980386 0.0564546 -17.679 < 2e-16 ***
DESTIN_GRID_ID847 -0.2706069 0.0561695 -4.818 1.45e-06 ***
DESTIN_GRID_ID848 -1.5132903 0.0563795 -26.841 < 2e-16 ***
DESTIN_GRID_ID849 -2.1637961 0.0566169 -38.218 < 2e-16 ***
DESTIN_GRID_ID850 -1.3328719 0.0562644 -23.689 < 2e-16 ***
DESTIN_GRID_ID851 -1.9386011 0.0563986 -34.373 < 2e-16 ***
DESTIN_GRID_ID852 -1.9931474 0.0566391 -35.190 < 2e-16 ***
DESTIN_GRID_ID853 -0.9987631 0.0567903 -17.587 < 2e-16 ***
DESTIN_GRID_ID854 -0.8962046 0.0578377 -15.495 < 2e-16 ***
DESTIN_GRID_ID855 -1.8222538 0.0595759 -30.587 < 2e-16 ***
DESTIN_GRID_ID856 -2.4285986 0.0646505 -37.565 < 2e-16 ***
DESTIN_GRID_ID866 -0.1568838 0.0568707 -2.759 0.005805 **
DESTIN_GRID_ID867 0.3590664 0.0561670 6.393 1.63e-10 ***
DESTIN_GRID_ID868 -0.1556461 0.0562540 -2.767 0.005660 **
DESTIN_GRID_ID869 0.7480666 0.0562247 13.305 < 2e-16 ***
DESTIN_GRID_ID870 0.2431448 0.0560489 4.338 1.44e-05 ***
DESTIN_GRID_ID871 0.1493405 0.0561300 2.661 0.007800 **
DESTIN_GRID_ID872 -1.4795778 0.0563202 -26.271 < 2e-16 ***
DESTIN_GRID_ID873 -1.9316118 0.0566807 -34.079 < 2e-16 ***
DESTIN_GRID_ID874 -3.1447609 0.0577028 -54.499 < 2e-16 ***
DESTIN_GRID_ID875 -2.3836801 0.0624070 -38.196 < 2e-16 ***
DESTIN_GRID_ID876 -2.0261508 0.0591613 -34.248 < 2e-16 ***
DESTIN_GRID_ID877 -1.4013240 0.0578875 -24.208 < 2e-16 ***
DESTIN_GRID_ID887 -0.9800010 0.0567178 -17.279 < 2e-16 ***
DESTIN_GRID_ID888 -2.2385999 0.0578990 -38.664 < 2e-16 ***
DESTIN_GRID_ID889 -1.5132996 0.0574806 -26.327 < 2e-16 ***
DESTIN_GRID_ID890 -0.6503022 0.0562100 -11.569 < 2e-16 ***
DESTIN_GRID_ID891 -2.2116856 0.0580584 -38.094 < 2e-16 ***
DESTIN_GRID_ID893 -0.9368046 0.0561606 -16.681 < 2e-16 ***
DESTIN_GRID_ID894 -2.5144371 0.0571447 -44.001 < 2e-16 ***
DESTIN_GRID_ID895 -1.2988405 0.0567252 -22.897 < 2e-16 ***
DESTIN_GRID_ID896 -3.7273942 0.0653753 -57.015 < 2e-16 ***
DESTIN_GRID_ID897 -3.7085978 0.0644011 -57.586 < 2e-16 ***
DESTIN_GRID_ID898 -1.3942920 0.0584698 -23.846 < 2e-16 ***
DESTIN_GRID_ID908 -0.0843897 0.0570444 -1.479 0.139042
DESTIN_GRID_ID909 -0.9894278 0.0563524 -17.558 < 2e-16 ***
DESTIN_GRID_ID910 -1.9294061 0.0572018 -33.730 < 2e-16 ***
DESTIN_GRID_ID911 0.1438955 0.0561308 2.564 0.010360 *
DESTIN_GRID_ID912 -1.6717073 0.0565528 -29.560 < 2e-16 ***
DESTIN_GRID_ID915 -1.5337938 0.0563151 -27.236 < 2e-16 ***
DESTIN_GRID_ID917 -0.0695969 0.0562638 -1.237 0.216096
DESTIN_GRID_ID918 -4.3382571 0.0688926 -62.971 < 2e-16 ***
DESTIN_GRID_ID919 -2.7325354 0.0583727 -46.812 < 2e-16 ***
DESTIN_GRID_ID928 -2.1128464 0.0591398 -35.726 < 2e-16 ***
DESTIN_GRID_ID929 -1.2279249 0.0564996 -21.733 < 2e-16 ***
DESTIN_GRID_ID930 0.0374656 0.0561009 0.668 0.504246
DESTIN_GRID_ID931 -1.4694589 0.0569965 -25.782 < 2e-16 ***
DESTIN_GRID_ID932 -3.1800504 0.0614029 -51.790 < 2e-16 ***
DESTIN_GRID_ID933 -1.1901952 0.0565811 -21.035 < 2e-16 ***
DESTIN_GRID_ID934 -1.4108314 0.0565158 -24.963 < 2e-16 ***
DESTIN_GRID_ID935 0.4289724 0.0560377 7.655 1.93e-14 ***
DESTIN_GRID_ID938 -5.2647697 0.1535308 -34.291 < 2e-16 ***
DESTIN_GRID_ID939 0.5399083 0.0561264 9.620 < 2e-16 ***
DESTIN_GRID_ID940 -3.4836312 0.0597707 -58.283 < 2e-16 ***
DESTIN_GRID_ID949 -1.7357706 0.0581119 -29.869 < 2e-16 ***
DESTIN_GRID_ID950 0.2359275 0.0562182 4.197 2.71e-05 ***
DESTIN_GRID_ID951 0.9593325 0.0560406 17.119 < 2e-16 ***
DESTIN_GRID_ID952 -0.5235626 0.0565298 -9.262 < 2e-16 ***
DESTIN_GRID_ID953 -1.0583859 0.0567089 -18.663 < 2e-16 ***
DESTIN_GRID_ID954 -2.9818469 0.0587825 -50.727 < 2e-16 ***
DESTIN_GRID_ID955 -0.2300760 0.0561645 -4.096 4.20e-05 ***
DESTIN_GRID_ID956 -2.1876292 0.0568063 -38.510 < 2e-16 ***
DESTIN_GRID_ID957 -2.1539387 0.0568226 -37.906 < 2e-16 ***
DESTIN_GRID_ID959 -1.5009998 0.0594133 -25.264 < 2e-16 ***
DESTIN_GRID_ID961 -1.9544241 0.0574002 -34.049 < 2e-16 ***
DESTIN_GRID_ID962 -0.1721998 0.0563338 -3.057 0.002237 **
DESTIN_GRID_ID970 -0.8239264 0.0565593 -14.567 < 2e-16 ***
DESTIN_GRID_ID971 -0.3608449 0.0561715 -6.424 1.33e-10 ***
DESTIN_GRID_ID972 -1.2330365 0.0565073 -21.821 < 2e-16 ***
DESTIN_GRID_ID974 -1.6309305 0.0571239 -28.551 < 2e-16 ***
DESTIN_GRID_ID975 -2.8888583 0.0587362 -49.184 < 2e-16 ***
DESTIN_GRID_ID976 -2.1483559 0.0570393 -37.664 < 2e-16 ***
DESTIN_GRID_ID977 -1.8083919 0.0564149 -32.055 < 2e-16 ***
DESTIN_GRID_ID978 -2.2011188 0.0572058 -38.477 < 2e-16 ***
DESTIN_GRID_ID982 -2.7857811 0.0571933 -48.708 < 2e-16 ***
DESTIN_GRID_ID983 0.0924426 0.0562763 1.643 0.100454
DESTIN_GRID_ID984 1.5173605 0.0564802 26.865 < 2e-16 ***
DESTIN_GRID_ID991 -0.3412109 0.0564591 -6.044 1.51e-09 ***
DESTIN_GRID_ID992 -0.5094272 0.0563655 -9.038 < 2e-16 ***
DESTIN_GRID_ID993 -1.8101304 0.0568641 -31.833 < 2e-16 ***
DESTIN_GRID_ID994 -1.8884731 0.0573417 -32.934 < 2e-16 ***
DESTIN_GRID_ID995 -1.2602973 0.0566563 -22.245 < 2e-16 ***
DESTIN_GRID_ID996 -1.8874875 0.0572857 -32.949 < 2e-16 ***
DESTIN_GRID_ID997 -1.5715822 0.0575564 -27.305 < 2e-16 ***
DESTIN_GRID_ID998 -1.2580991 0.0563654 -22.320 < 2e-16 ***
DESTIN_GRID_ID999 -2.4246925 0.0570887 -42.472 < 2e-16 ***
DESTIN_GRID_ID1001 -1.3202692 0.0582948 -22.648 < 2e-16 ***
DESTIN_GRID_ID1003 0.0875909 0.0561040 1.561 0.118471
DESTIN_GRID_ID1004 -1.4489301 0.0562981 -25.737 < 2e-16 ***
DESTIN_GRID_ID1011 -0.7823629 0.0573276 -13.647 < 2e-16 ***
DESTIN_GRID_ID1012 0.1606465 0.0565317 2.842 0.004487 **
DESTIN_GRID_ID1013 -0.5150862 0.0564281 -9.128 < 2e-16 ***
DESTIN_GRID_ID1014 -2.5331380 0.0588531 -43.042 < 2e-16 ***
DESTIN_GRID_ID1015 -0.0776588 0.0562201 -1.381 0.167176
DESTIN_GRID_ID1016 0.2441984 0.0561217 4.351 1.35e-05 ***
DESTIN_GRID_ID1018 -2.1174459 0.0574329 -36.868 < 2e-16 ***
DESTIN_GRID_ID1019 -1.3335598 0.0563819 -23.652 < 2e-16 ***
DESTIN_GRID_ID1023 -2.1665631 0.0577361 -37.525 < 2e-16 ***
DESTIN_GRID_ID1024 -1.0995104 0.0563680 -19.506 < 2e-16 ***
DESTIN_GRID_ID1025 -6.0809771 0.1193859 -50.935 < 2e-16 ***
DESTIN_GRID_ID1033 0.0112310 0.0563473 0.199 0.842015
DESTIN_GRID_ID1034 0.2406891 0.0561864 4.284 1.84e-05 ***
DESTIN_GRID_ID1035 0.1028650 0.0562069 1.830 0.067233 .
DESTIN_GRID_ID1036 0.2504604 0.0561637 4.459 8.22e-06 ***
DESTIN_GRID_ID1037 -0.9344767 0.0563959 -16.570 < 2e-16 ***
DESTIN_GRID_ID1043 -0.5350036 0.0571184 -9.367 < 2e-16 ***
DESTIN_GRID_ID1045 -1.2715960 0.0563388 -22.571 < 2e-16 ***
DESTIN_GRID_ID1046 -0.8848292 0.0563429 -15.704 < 2e-16 ***
DESTIN_GRID_ID1053 0.6010904 0.0562068 10.694 < 2e-16 ***
DESTIN_GRID_ID1054 0.1724255 0.0562395 3.066 0.002170 **
DESTIN_GRID_ID1055 -1.1397294 0.0567520 -20.083 < 2e-16 ***
DESTIN_GRID_ID1056 -1.5004431 0.0572113 -26.226 < 2e-16 ***
DESTIN_GRID_ID1064 -3.7210466 0.1038052 -35.846 < 2e-16 ***
DESTIN_GRID_ID1066 -0.3765122 0.0561637 -6.704 2.03e-11 ***
DESTIN_GRID_ID1067 -6.1181607 0.1534569 -39.869 < 2e-16 ***
DESTIN_GRID_ID1074 -1.5496646 0.0579841 -26.726 < 2e-16 ***
DESTIN_GRID_ID1075 -0.1061315 0.0564316 -1.881 0.060011 .
DESTIN_GRID_ID1076 -0.6700219 0.0564584 -11.868 < 2e-16 ***
DESTIN_GRID_ID1077 -1.3809175 0.0569795 -24.235 < 2e-16 ***
DESTIN_GRID_ID1079 -0.4008110 0.0563221 -7.116 1.11e-12 ***
DESTIN_GRID_ID1085 -1.8028506 0.0755160 -23.874 < 2e-16 ***
DESTIN_GRID_ID1087 -1.1466869 0.0563728 -20.341 < 2e-16 ***
DESTIN_GRID_ID1088 -0.8564532 0.0563062 -15.211 < 2e-16 ***
DESTIN_GRID_ID1094 -3.1262705 0.0791535 -39.496 < 2e-16 ***
DESTIN_GRID_ID1095 -0.7532053 0.0581880 -12.944 < 2e-16 ***
DESTIN_GRID_ID1096 -0.3551830 0.0584040 -6.081 1.19e-09 ***
DESTIN_GRID_ID1097 0.3209940 0.0561534 5.716 1.09e-08 ***
DESTIN_GRID_ID1098 -2.4166759 0.0607966 -39.750 < 2e-16 ***
DESTIN_GRID_ID1099 -1.1200361 0.0566411 -19.774 < 2e-16 ***
DESTIN_GRID_ID1105 0.8645824 0.0567727 15.229 < 2e-16 ***
DESTIN_GRID_ID1106 -4.3305804 0.1159654 -37.344 < 2e-16 ***
DESTIN_GRID_ID1107 -0.7269720 0.0565396 -12.858 < 2e-16 ***
DESTIN_GRID_ID1108 1.3797181 0.0560444 24.618 < 2e-16 ***
DESTIN_GRID_ID1109 -3.6416208 0.0665974 -54.681 < 2e-16 ***
DESTIN_GRID_ID1116 -0.4983185 0.0566748 -8.793 < 2e-16 ***
DESTIN_GRID_ID1117 -0.2036456 0.0565714 -3.600 0.000318 ***
DESTIN_GRID_ID1118 -2.2185021 0.0594735 -37.302 < 2e-16 ***
DESTIN_GRID_ID1119 -1.5185886 0.0571784 -26.559 < 2e-16 ***
DESTIN_GRID_ID1120 -2.0763816 0.0591065 -35.129 < 2e-16 ***
DESTIN_GRID_ID1129 -1.7768555 0.0566337 -31.375 < 2e-16 ***
DESTIN_GRID_ID1130 -0.9824320 0.0562950 -17.451 < 2e-16 ***
DESTIN_GRID_ID1131 0.1582357 0.0564281 2.804 0.005044 **
DESTIN_GRID_ID1136 0.6085001 0.0562296 10.822 < 2e-16 ***
DESTIN_GRID_ID1138 -1.8534763 0.0593315 -31.239 < 2e-16 ***
DESTIN_GRID_ID1139 -1.0276690 0.0565430 -18.175 < 2e-16 ***
DESTIN_GRID_ID1141 -1.0062856 0.0566245 -17.771 < 2e-16 ***
DESTIN_GRID_ID1148 -2.0408606 0.0639190 -31.929 < 2e-16 ***
DESTIN_GRID_ID1149 -2.1288040 0.0577778 -36.845 < 2e-16 ***
DESTIN_GRID_ID1150 -1.7696112 0.0564801 -31.332 < 2e-16 ***
DESTIN_GRID_ID1151 -0.9475245 0.0564125 -16.796 < 2e-16 ***
DESTIN_GRID_ID1158 -1.4116201 0.0573004 -24.635 < 2e-16 ***
DESTIN_GRID_ID1159 -1.2908438 0.0568862 -22.692 < 2e-16 ***
DESTIN_GRID_ID1160 0.3302352 0.0561530 5.881 4.08e-09 ***
DESTIN_GRID_ID1171 -0.7515455 0.0563494 -13.337 < 2e-16 ***
DESTIN_GRID_ID1172 0.5628361 0.0560920 10.034 < 2e-16 ***
DESTIN_GRID_ID1173 0.1417609 0.0562535 2.520 0.011734 *
DESTIN_GRID_ID1174 -2.0868565 0.0692699 -30.126 < 2e-16 ***
DESTIN_GRID_ID1178 0.7908148 0.0561235 14.091 < 2e-16 ***
DESTIN_GRID_ID1179 -0.1705823 0.0562696 -3.032 0.002433 **
DESTIN_GRID_ID1180 -0.0609497 0.0562133 -1.084 0.278250
DESTIN_GRID_ID1181 -1.3064052 0.0567860 -23.006 < 2e-16 ***
DESTIN_GRID_ID1183 0.4331267 0.0561510 7.714 1.22e-14 ***
DESTIN_GRID_ID1190 -1.8914621 0.0623615 -30.331 < 2e-16 ***
DESTIN_GRID_ID1192 -0.7918191 0.0562865 -14.068 < 2e-16 ***
DESTIN_GRID_ID1193 -0.5232002 0.0562705 -9.298 < 2e-16 ***
DESTIN_GRID_ID1194 0.0810440 0.0563442 1.438 0.150328
DESTIN_GRID_ID1200 -0.5231890 0.0565643 -9.249 < 2e-16 ***
DESTIN_GRID_ID1201 -0.7987756 0.0565878 -14.116 < 2e-16 ***
DESTIN_GRID_ID1203 -0.8823632 0.0566732 -15.569 < 2e-16 ***
DESTIN_GRID_ID1204 -1.0295947 0.0567309 -18.149 < 2e-16 ***
DESTIN_GRID_ID1211 -5.9137136 0.4507529 -13.120 < 2e-16 ***
DESTIN_GRID_ID1214 -1.7201975 0.0567567 -30.308 < 2e-16 ***
DESTIN_GRID_ID1215 -0.8778684 0.0572532 -15.333 < 2e-16 ***
DESTIN_GRID_ID1216 -0.3742181 0.0569359 -6.573 4.94e-11 ***
DESTIN_GRID_ID1220 -0.3160196 0.0563763 -5.606 2.08e-08 ***
DESTIN_GRID_ID1221 0.2568795 0.0561685 4.573 4.80e-06 ***
DESTIN_GRID_ID1222 -0.9422251 0.0575839 -16.363 < 2e-16 ***
DESTIN_GRID_ID1223 -1.6014623 0.0575715 -27.817 < 2e-16 ***
DESTIN_GRID_ID1224 -0.7930928 0.0565818 -14.017 < 2e-16 ***
DESTIN_GRID_ID1231 -3.3979708 0.0847214 -40.108 < 2e-16 ***
DESTIN_GRID_ID1232 -1.3709575 0.0609626 -22.488 < 2e-16 ***
DESTIN_GRID_ID1235 -0.8203487 0.0563323 -14.563 < 2e-16 ***
DESTIN_GRID_ID1236 -0.8941377 0.0566587 -15.781 < 2e-16 ***
DESTIN_GRID_ID1241 -1.6110987 0.0574229 -28.057 < 2e-16 ***
DESTIN_GRID_ID1242 -1.1404454 0.0568438 -20.063 < 2e-16 ***
DESTIN_GRID_ID1243 0.0481299 0.0562362 0.856 0.392079
DESTIN_GRID_ID1246 -1.2905054 0.0568441 -22.703 < 2e-16 ***
DESTIN_GRID_ID1256 -1.6026240 0.0567358 -28.247 < 2e-16 ***
DESTIN_GRID_ID1257 -0.3957453 0.0563729 -7.020 2.22e-12 ***
DESTIN_GRID_ID1258 0.5420228 0.0562611 9.634 < 2e-16 ***
DESTIN_GRID_ID1262 -1.9150896 0.0579268 -33.061 < 2e-16 ***
DESTIN_GRID_ID1263 0.4349248 0.0561091 7.751 9.09e-15 ***
DESTIN_GRID_ID1264 -0.3608169 0.0565275 -6.383 1.74e-10 ***
DESTIN_GRID_ID1265 -0.4517379 0.0566207 -7.978 1.48e-15 ***
DESTIN_GRID_ID1266 -0.4246982 0.0564507 -7.523 5.34e-14 ***
DESTIN_GRID_ID1267 -2.0650415 0.0594313 -34.747 < 2e-16 ***
DESTIN_GRID_ID1272 -5.5920711 0.1312623 -42.602 < 2e-16 ***
DESTIN_GRID_ID1273 -0.4486532 0.0564810 -7.943 1.97e-15 ***
DESTIN_GRID_ID1277 -0.2986624 0.0562051 -5.314 1.07e-07 ***
DESTIN_GRID_ID1278 -0.5955152 0.0563647 -10.565 < 2e-16 ***
DESTIN_GRID_ID1283 0.8707453 0.0561091 15.519 < 2e-16 ***
DESTIN_GRID_ID1284 0.4236440 0.0561502 7.545 4.53e-14 ***
DESTIN_GRID_ID1285 0.1737583 0.0562062 3.091 0.001992 **
DESTIN_GRID_ID1286 -0.7043013 0.0569435 -12.368 < 2e-16 ***
DESTIN_GRID_ID1289 -3.1034309 0.0691255 -44.896 < 2e-16 ***
DESTIN_GRID_ID1293 -4.6578892 0.1038061 -44.871 < 2e-16 ***
DESTIN_GRID_ID1294 -0.5967210 0.0567661 -10.512 < 2e-16 ***
DESTIN_GRID_ID1295 -3.0918991 0.0616850 -50.124 < 2e-16 ***
DESTIN_GRID_ID1298 -1.1745647 0.0564876 -20.793 < 2e-16 ***
DESTIN_GRID_ID1299 -1.3947047 0.0568352 -24.539 < 2e-16 ***
DESTIN_GRID_ID1304 -0.0841686 0.0563314 -1.494 0.135131
DESTIN_GRID_ID1305 -0.0760250 0.0561888 -1.353 0.176047
DESTIN_GRID_ID1307 -1.3162147 0.0592493 -22.215 < 2e-16 ***
DESTIN_GRID_ID1308 -0.1765269 0.0562937 -3.136 0.001714 **
DESTIN_GRID_ID1310 -5.0681125 0.2305201 -21.986 < 2e-16 ***
DESTIN_GRID_ID1316 -2.3791852 0.0582859 -40.819 < 2e-16 ***
DESTIN_GRID_ID1317 -2.6293342 0.0578843 -45.424 < 2e-16 ***
DESTIN_GRID_ID1318 -2.7711165 0.0588132 -47.117 < 2e-16 ***
DESTIN_GRID_ID1319 0.1983549 0.0561380 3.533 0.000410 ***
DESTIN_GRID_ID1320 -1.7658892 0.0575996 -30.658 < 2e-16 ***
DESTIN_GRID_ID1324 -0.2609049 0.0594519 -4.389 1.14e-05 ***
DESTIN_GRID_ID1325 -2.1815852 0.0584409 -37.330 < 2e-16 ***
DESTIN_GRID_ID1326 -0.5162702 0.0563644 -9.160 < 2e-16 ***
DESTIN_GRID_ID1327 -0.2424527 0.0562821 -4.308 1.65e-05 ***
DESTIN_GRID_ID1328 -0.4355573 0.0564460 -7.716 1.20e-14 ***
DESTIN_GRID_ID1329 -0.6445948 0.0568481 -11.339 < 2e-16 ***
DESTIN_GRID_ID1330 0.7070663 0.0562368 12.573 < 2e-16 ***
DESTIN_GRID_ID1331 -5.9036532 0.2940578 -20.077 < 2e-16 ***
DESTIN_GRID_ID1333 -1.9800357 0.0586099 -33.783 < 2e-16 ***
DESTIN_GRID_ID1334 -1.6180165 0.0578184 -27.984 < 2e-16 ***
DESTIN_GRID_ID1335 0.1096276 0.0563009 1.947 0.051514 .
DESTIN_GRID_ID1336 -3.1339479 0.0740437 -42.326 < 2e-16 ***
DESTIN_GRID_ID1337 -3.5413382 0.0660800 -53.592 < 2e-16 ***
DESTIN_GRID_ID1338 -3.8164371 0.0630059 -60.573 < 2e-16 ***
DESTIN_GRID_ID1339 -0.2347221 0.0561674 -4.179 2.93e-05 ***
DESTIN_GRID_ID1340 -1.6688073 0.0570103 -29.272 < 2e-16 ***
DESTIN_GRID_ID1341 -5.2811378 0.1106253 -47.739 < 2e-16 ***
DESTIN_GRID_ID1346 -0.3835754 0.0565731 -6.780 1.20e-11 ***
DESTIN_GRID_ID1347 0.8169439 0.0561329 14.554 < 2e-16 ***
DESTIN_GRID_ID1348 -0.6502083 0.0564861 -11.511 < 2e-16 ***
DESTIN_GRID_ID1349 0.3531679 0.0562835 6.275 3.50e-10 ***
DESTIN_GRID_ID1350 -1.3152760 0.0577517 -22.775 < 2e-16 ***
DESTIN_GRID_ID1353 -0.6955529 0.0565046 -12.310 < 2e-16 ***
DESTIN_GRID_ID1354 -1.3425859 0.0569482 -23.576 < 2e-16 ***
DESTIN_GRID_ID1355 -1.7272775 0.0572968 -30.146 < 2e-16 ***
DESTIN_GRID_ID1357 -2.1914227 0.0593427 -36.928 < 2e-16 ***
DESTIN_GRID_ID1358 -0.0729799 0.0561468 -1.300 0.193668
DESTIN_GRID_ID1359 -1.3593462 0.0563876 -24.107 < 2e-16 ***
DESTIN_GRID_ID1360 -1.5594546 0.0564870 -27.607 < 2e-16 ***
DESTIN_GRID_ID1361 -1.5513903 0.0569416 -27.245 < 2e-16 ***
DESTIN_GRID_ID1362 -2.7119369 0.0627646 -43.208 < 2e-16 ***
DESTIN_GRID_ID1368 -1.3218464 0.0569403 -23.215 < 2e-16 ***
DESTIN_GRID_ID1369 -1.1276487 0.0567636 -19.866 < 2e-16 ***
DESTIN_GRID_ID1370 0.4582732 0.0561293 8.165 3.23e-16 ***
DESTIN_GRID_ID1371 -0.3822067 0.0564967 -6.765 1.33e-11 ***
DESTIN_GRID_ID1372 -0.3893765 0.0564191 -6.902 5.15e-12 ***
DESTIN_GRID_ID1373 -3.4269485 0.0669605 -51.179 < 2e-16 ***
DESTIN_GRID_ID1374 -2.2012366 0.0582408 -37.795 < 2e-16 ***
DESTIN_GRID_ID1375 -0.3644803 0.0565549 -6.445 1.16e-10 ***
DESTIN_GRID_ID1376 -1.9982118 0.0585687 -34.117 < 2e-16 ***
DESTIN_GRID_ID1379 -5.2816925 0.0957358 -55.169 < 2e-16 ***
DESTIN_GRID_ID1380 0.5213593 0.0560769 9.297 < 2e-16 ***
DESTIN_GRID_ID1381 0.6988865 0.0560660 12.465 < 2e-16 ***
DESTIN_GRID_ID1382 -0.1232571 0.0562194 -2.192 0.028348 *
DESTIN_GRID_ID1383 -2.8345383 0.0594929 -47.645 < 2e-16 ***
DESTIN_GRID_ID1388 -0.5482583 0.0564569 -9.711 < 2e-16 ***
DESTIN_GRID_ID1389 -0.7904836 0.0565832 -13.970 < 2e-16 ***
DESTIN_GRID_ID1390 -0.4480803 0.0564776 -7.934 2.13e-15 ***
DESTIN_GRID_ID1391 0.2722109 0.0562252 4.841 1.29e-06 ***
DESTIN_GRID_ID1392 -0.2955960 0.0571804 -5.170 2.35e-07 ***
DESTIN_GRID_ID1393 -0.9751815 0.0566445 -17.216 < 2e-16 ***
DESTIN_GRID_ID1394 -0.6498214 0.0563710 -11.528 < 2e-16 ***
DESTIN_GRID_ID1395 -1.1145862 0.0565387 -19.714 < 2e-16 ***
DESTIN_GRID_ID1396 -0.3564974 0.0562643 -6.336 2.36e-10 ***
DESTIN_GRID_ID1397 -1.4689653 0.0566950 -25.910 < 2e-16 ***
DESTIN_GRID_ID1398 -1.7370471 0.0580780 -29.909 < 2e-16 ***
DESTIN_GRID_ID1400 -2.2039147 0.0571987 -38.531 < 2e-16 ***
DESTIN_GRID_ID1401 -0.4623273 0.0561239 -8.238 < 2e-16 ***
DESTIN_GRID_ID1402 -1.1855657 0.0563076 -21.055 < 2e-16 ***
DESTIN_GRID_ID1404 -1.8540280 0.0619336 -29.936 < 2e-16 ***
DESTIN_GRID_ID1410 0.0039133 0.0562401 0.070 0.944526
DESTIN_GRID_ID1411 -0.4197638 0.0565602 -7.422 1.16e-13 ***
DESTIN_GRID_ID1412 0.1363592 0.0561822 2.427 0.015220 *
DESTIN_GRID_ID1413 -0.5302135 0.0564110 -9.399 < 2e-16 ***
DESTIN_GRID_ID1414 -0.5835626 0.0563296 -10.360 < 2e-16 ***
DESTIN_GRID_ID1415 -0.2978405 0.0562792 -5.292 1.21e-07 ***
DESTIN_GRID_ID1416 -0.8384015 0.0564770 -14.845 < 2e-16 ***
DESTIN_GRID_ID1417 -0.6693028 0.0562745 -11.894 < 2e-16 ***
DESTIN_GRID_ID1418 -0.7630462 0.0563191 -13.549 < 2e-16 ***
DESTIN_GRID_ID1419 -1.0972971 0.0565480 -19.405 < 2e-16 ***
DESTIN_GRID_ID1422 -1.5698334 0.0563857 -27.841 < 2e-16 ***
DESTIN_GRID_ID1423 -1.0852339 0.0562940 -19.278 < 2e-16 ***
DESTIN_GRID_ID1430 0.2344551 0.0562510 4.168 3.07e-05 ***
DESTIN_GRID_ID1431 0.5040999 0.0561454 8.978 < 2e-16 ***
DESTIN_GRID_ID1432 0.2188150 0.0561589 3.896 9.77e-05 ***
DESTIN_GRID_ID1433 -0.6728524 0.0568938 -11.826 < 2e-16 ***
DESTIN_GRID_ID1434 0.3291043 0.0561597 5.860 4.62e-09 ***
DESTIN_GRID_ID1435 -0.2213985 0.0562033 -3.939 8.17e-05 ***
DESTIN_GRID_ID1436 -1.5380799 0.0570637 -26.954 < 2e-16 ***
DESTIN_GRID_ID1437 -0.9240520 0.0564039 -16.383 < 2e-16 ***
DESTIN_GRID_ID1438 -0.4225499 0.0561740 -7.522 5.39e-14 ***
DESTIN_GRID_ID1439 0.4070856 0.0561096 7.255 4.01e-13 ***
DESTIN_GRID_ID1440 -0.4516093 0.0564587 -7.999 1.26e-15 ***
DESTIN_GRID_ID1442 -3.4749394 0.0594305 -58.471 < 2e-16 ***
DESTIN_GRID_ID1443 -1.4923015 0.0563691 -26.474 < 2e-16 ***
DESTIN_GRID_ID1444 -0.4512428 0.0563769 -8.004 1.20e-15 ***
DESTIN_GRID_ID1452 0.9331452 0.0560860 16.638 < 2e-16 ***
DESTIN_GRID_ID1453 -0.0482627 0.0562845 -0.857 0.391181
DESTIN_GRID_ID1454 -1.0615080 0.0574927 -18.463 < 2e-16 ***
DESTIN_GRID_ID1455 -0.4411768 0.0564959 -7.809 5.76e-15 ***
DESTIN_GRID_ID1456 -0.4821884 0.0563390 -8.559 < 2e-16 ***
DESTIN_GRID_ID1457 0.0637614 0.0562090 1.134 0.256643
DESTIN_GRID_ID1458 0.9975168 0.0560544 17.796 < 2e-16 ***
DESTIN_GRID_ID1459 -1.7897080 0.0567283 -31.549 < 2e-16 ***
DESTIN_GRID_ID1460 -0.6006043 0.0561996 -10.687 < 2e-16 ***
DESTIN_GRID_ID1461 -0.6782157 0.0564417 -12.016 < 2e-16 ***
DESTIN_GRID_ID1464 -1.5961451 0.0565114 -28.245 < 2e-16 ***
DESTIN_GRID_ID1465 -2.5207198 0.0573377 -43.963 < 2e-16 ***
DESTIN_GRID_ID1472 -0.1356126 0.0565367 -2.399 0.016455 *
DESTIN_GRID_ID1473 0.7336690 0.0561236 13.072 < 2e-16 ***
DESTIN_GRID_ID1474 0.4350107 0.0561110 7.753 9.00e-15 ***
DESTIN_GRID_ID1475 -0.0082180 0.0562032 -0.146 0.883748
DESTIN_GRID_ID1476 -0.8478584 0.0565247 -15.000 < 2e-16 ***
DESTIN_GRID_ID1477 0.8837622 0.0560469 15.768 < 2e-16 ***
DESTIN_GRID_ID1478 -0.6956161 0.0562599 -12.364 < 2e-16 ***
DESTIN_GRID_ID1479 -1.4629714 0.0565150 -25.886 < 2e-16 ***
DESTIN_GRID_ID1480 0.7506112 0.0560537 13.391 < 2e-16 ***
DESTIN_GRID_ID1481 -0.9299056 0.0564528 -16.472 < 2e-16 ***
DESTIN_GRID_ID1482 0.2626726 0.0562346 4.671 3.00e-06 ***
DESTIN_GRID_ID1485 -2.9231375 0.0577205 -50.643 < 2e-16 ***
DESTIN_GRID_ID1494 0.5629575 0.0561671 10.023 < 2e-16 ***
DESTIN_GRID_ID1495 -0.4122904 0.0563622 -7.315 2.57e-13 ***
DESTIN_GRID_ID1496 0.3849659 0.0561218 6.859 6.91e-12 ***
DESTIN_GRID_ID1497 -0.9085985 0.0565921 -16.055 < 2e-16 ***
DESTIN_GRID_ID1498 -0.7672298 0.0564219 -13.598 < 2e-16 ***
DESTIN_GRID_ID1499 -0.4961640 0.0561949 -8.829 < 2e-16 ***
DESTIN_GRID_ID1500 -0.7943129 0.0566524 -14.021 < 2e-16 ***
DESTIN_GRID_ID1501 -0.1663320 0.0561383 -2.963 0.003048 **
DESTIN_GRID_ID1502 -0.3275382 0.0561765 -5.831 5.53e-09 ***
DESTIN_GRID_ID1506 -3.1809385 0.0885170 -35.936 < 2e-16 ***
DESTIN_GRID_ID1515 -0.3480165 0.0579460 -6.006 1.90e-09 ***
DESTIN_GRID_ID1516 0.4680383 0.0561180 8.340 < 2e-16 ***
DESTIN_GRID_ID1517 -0.4372185 0.0564739 -7.742 9.79e-15 ***
DESTIN_GRID_ID1518 -1.2495100 0.0566984 -22.038 < 2e-16 ***
DESTIN_GRID_ID1519 -1.1022192 0.0566972 -19.440 < 2e-16 ***
DESTIN_GRID_ID1520 -1.2670108 0.0564664 -22.438 < 2e-16 ***
DESTIN_GRID_ID1521 -1.2114353 0.0565028 -21.440 < 2e-16 ***
DESTIN_GRID_ID1522 -0.6242915 0.0562496 -11.099 < 2e-16 ***
DESTIN_GRID_ID1523 0.7545810 0.0561887 13.429 < 2e-16 ***
DESTIN_GRID_ID1524 -1.6672302 0.0574744 -29.008 < 2e-16 ***
DESTIN_GRID_ID1527 -4.2239580 0.0668692 -63.167 < 2e-16 ***
DESTIN_GRID_ID1535 -0.8022324 0.0907257 -8.842 < 2e-16 ***
DESTIN_GRID_ID1536 -1.8512617 0.0634257 -29.188 < 2e-16 ***
DESTIN_GRID_ID1537 0.0134855 0.0563753 0.239 0.810943
DESTIN_GRID_ID1538 -0.2582338 0.0562810 -4.588 4.47e-06 ***
DESTIN_GRID_ID1539 -0.2979640 0.0562143 -5.301 1.15e-07 ***
DESTIN_GRID_ID1540 -1.0047033 0.0563705 -17.823 < 2e-16 ***
DESTIN_GRID_ID1541 -0.2445014 0.0565722 -4.322 1.55e-05 ***
DESTIN_GRID_ID1542 -0.9957250 0.0567735 -17.539 < 2e-16 ***
DESTIN_GRID_ID1543 -1.4578058 0.0631192 -23.096 < 2e-16 ***
DESTIN_GRID_ID1544 -1.2423031 0.0568377 -21.857 < 2e-16 ***
DESTIN_GRID_ID1547 -1.8841756 0.0580090 -32.481 < 2e-16 ***
DESTIN_GRID_ID1556 -0.8247140 0.0924574 -8.920 < 2e-16 ***
DESTIN_GRID_ID1557 -1.4821358 0.0599516 -24.722 < 2e-16 ***
DESTIN_GRID_ID1558 -0.3728122 0.0576864 -6.463 1.03e-10 ***
DESTIN_GRID_ID1559 0.2630976 0.0561416 4.686 2.78e-06 ***
DESTIN_GRID_ID1560 0.2344931 0.0561306 4.178 2.95e-05 ***
DESTIN_GRID_ID1561 -0.6409872 0.0564438 -11.356 < 2e-16 ***
DESTIN_GRID_ID1562 -2.5859721 0.0584819 -44.218 < 2e-16 ***
DESTIN_GRID_ID1563 -1.7764921 0.0568660 -31.240 < 2e-16 ***
DESTIN_GRID_ID1564 -1.3835080 0.0566439 -24.425 < 2e-16 ***
DESTIN_GRID_ID1565 -0.7906930 0.0563630 -14.029 < 2e-16 ***
DESTIN_GRID_ID1566 -2.5908408 0.0585936 -44.217 < 2e-16 ***
DESTIN_GRID_ID1567 -2.4264820 0.0589219 -41.181 < 2e-16 ***
DESTIN_GRID_ID1568 -1.3776201 0.0571817 -24.092 < 2e-16 ***
DESTIN_GRID_ID1578 -1.3263975 0.1247787 -10.630 < 2e-16 ***
DESTIN_GRID_ID1580 -2.6259202 0.0633133 -41.475 < 2e-16 ***
DESTIN_GRID_ID1581 -0.2000437 0.0562244 -3.558 0.000374 ***
DESTIN_GRID_ID1582 -0.0304773 0.0561416 -0.543 0.587222
DESTIN_GRID_ID1583 -1.9523357 0.0602891 -32.383 < 2e-16 ***
DESTIN_GRID_ID1584 -1.6618602 0.0574313 -28.936 < 2e-16 ***
DESTIN_GRID_ID1585 -1.3296418 0.0567304 -23.438 < 2e-16 ***
DESTIN_GRID_ID1586 -0.5149105 0.0562648 -9.152 < 2e-16 ***
DESTIN_GRID_ID1589 -2.7906326 0.0603243 -46.261 < 2e-16 ***
DESTIN_GRID_ID1590 -1.5691759 0.0576688 -27.210 < 2e-16 ***
DESTIN_GRID_ID1600 -0.7660935 0.0583739 -13.124 < 2e-16 ***
DESTIN_GRID_ID1601 -1.1283463 0.0565251 -19.962 < 2e-16 ***
DESTIN_GRID_ID1602 -0.7954952 0.0564658 -14.088 < 2e-16 ***
DESTIN_GRID_ID1603 0.3316002 0.0561398 5.907 3.49e-09 ***
DESTIN_GRID_ID1604 -1.9514903 0.0571337 -34.157 < 2e-16 ***
DESTIN_GRID_ID1605 -0.9100869 0.0563235 -16.158 < 2e-16 ***
DESTIN_GRID_ID1606 -1.7628217 0.0580693 -30.357 < 2e-16 ***
DESTIN_GRID_ID1607 -0.3333758 0.0561631 -5.936 2.92e-09 ***
DESTIN_GRID_ID1608 -1.1883975 0.0564177 -21.064 < 2e-16 ***
DESTIN_GRID_ID1609 -0.3918562 0.0562437 -6.967 3.24e-12 ***
DESTIN_GRID_ID1610 -2.5479785 0.0625846 -40.713 < 2e-16 ***
DESTIN_GRID_ID1622 -0.5266313 0.0574531 -9.166 < 2e-16 ***
DESTIN_GRID_ID1623 -0.0876395 0.0561638 -1.560 0.118659
DESTIN_GRID_ID1624 0.4689155 0.0561307 8.354 < 2e-16 ***
DESTIN_GRID_ID1625 -0.4500448 0.0563075 -7.993 1.32e-15 ***
DESTIN_GRID_ID1626 1.2257979 0.0560381 21.874 < 2e-16 ***
DESTIN_GRID_ID1627 -1.8723213 0.0567655 -32.983 < 2e-16 ***
DESTIN_GRID_ID1628 0.1505800 0.0561156 2.683 0.007288 **
DESTIN_GRID_ID1629 -2.9369964 0.0582791 -50.395 < 2e-16 ***
DESTIN_GRID_ID1630 -2.5332098 0.0574018 -44.131 < 2e-16 ***
DESTIN_GRID_ID1631 -2.6914342 0.0588248 -45.753 < 2e-16 ***
DESTIN_GRID_ID1642 -2.8370835 0.0654123 -43.372 < 2e-16 ***
DESTIN_GRID_ID1643 -0.5784856 0.0563287 -10.270 < 2e-16 ***
DESTIN_GRID_ID1644 -0.5731221 0.0565948 -10.127 < 2e-16 ***
DESTIN_GRID_ID1645 -0.7455972 0.0563934 -13.221 < 2e-16 ***
DESTIN_GRID_ID1646 -0.4560806 0.0565864 -8.060 7.64e-16 ***
DESTIN_GRID_ID1647 -1.2280563 0.0563772 -21.783 < 2e-16 ***
DESTIN_GRID_ID1648 -1.0947111 0.0563015 -19.444 < 2e-16 ***
DESTIN_GRID_ID1649 -0.5720565 0.0561642 -10.185 < 2e-16 ***
DESTIN_GRID_ID1650 -1.5018495 0.0565590 -26.554 < 2e-16 ***
DESTIN_GRID_ID1664 -5.0460389 0.1428160 -35.332 < 2e-16 ***
DESTIN_GRID_ID1665 0.0223170 0.0561504 0.397 0.691036
DESTIN_GRID_ID1666 0.0642889 0.0561444 1.145 0.252183
DESTIN_GRID_ID1667 -0.6477618 0.0578917 -11.189 < 2e-16 ***
DESTIN_GRID_ID1668 -1.2156570 0.0564659 -21.529 < 2e-16 ***
DESTIN_GRID_ID1670 -0.7239558 0.0561844 -12.885 < 2e-16 ***
DESTIN_GRID_ID1671 -1.3046524 0.0573100 -22.765 < 2e-16 ***
DESTIN_GRID_ID1672 -2.3017657 0.0575294 -40.010 < 2e-16 ***
DESTIN_GRID_ID1684 -0.2467424 0.0567528 -4.348 1.38e-05 ***
DESTIN_GRID_ID1685 -1.4878445 0.0568485 -26.172 < 2e-16 ***
DESTIN_GRID_ID1686 -0.5976035 0.0563031 -10.614 < 2e-16 ***
DESTIN_GRID_ID1687 -0.3391322 0.0564341 -6.009 1.86e-09 ***
DESTIN_GRID_ID1688 -1.1460057 0.0564648 -20.296 < 2e-16 ***
DESTIN_GRID_ID1689 -1.9084238 0.0569741 -33.496 < 2e-16 ***
DESTIN_GRID_ID1690 -2.6182911 0.0577368 -45.349 < 2e-16 ***
DESTIN_GRID_ID1691 -0.6290514 0.0561748 -11.198 < 2e-16 ***
DESTIN_GRID_ID1692 -2.7205292 0.0580748 -46.845 < 2e-16 ***
DESTIN_GRID_ID1706 -0.7153830 0.0565877 -12.642 < 2e-16 ***
DESTIN_GRID_ID1707 -1.5098886 0.0566956 -26.632 < 2e-16 ***
DESTIN_GRID_ID1708 -0.9125713 0.0564063 -16.179 < 2e-16 ***
DESTIN_GRID_ID1709 -0.1539442 0.0561937 -2.740 0.006153 **
DESTIN_GRID_ID1710 -0.3365301 0.0562252 -5.985 2.16e-09 ***
DESTIN_GRID_ID1711 0.1229632 0.0561156 2.191 0.028434 *
DESTIN_GRID_ID1712 -0.7931185 0.0561877 -14.116 < 2e-16 ***
DESTIN_GRID_ID1713 -3.1686569 0.0584391 -54.221 < 2e-16 ***
DESTIN_GRID_ID1714 -1.8579726 0.0567287 -32.752 < 2e-16 ***
DESTIN_GRID_ID1727 -0.2332984 0.0562936 -4.144 3.41e-05 ***
DESTIN_GRID_ID1728 -0.2112223 0.0561920 -3.759 0.000171 ***
DESTIN_GRID_ID1729 -0.1001253 0.0561685 -1.783 0.074653 .
DESTIN_GRID_ID1730 -1.0906047 0.0566335 -19.257 < 2e-16 ***
DESTIN_GRID_ID1731 -0.2683686 0.0561838 -4.777 1.78e-06 ***
DESTIN_GRID_ID1732 -0.9494560 0.0562252 -16.887 < 2e-16 ***
DESTIN_GRID_ID1733 -2.1172308 0.0566995 -37.341 < 2e-16 ***
DESTIN_GRID_ID1734 -0.9081685 0.0562209 -16.154 < 2e-16 ***
DESTIN_GRID_ID1735 -1.7545412 0.0583529 -30.068 < 2e-16 ***
DESTIN_GRID_ID1748 -1.2750831 0.0568310 -22.436 < 2e-16 ***
DESTIN_GRID_ID1749 -0.0776797 0.0561533 -1.383 0.166557
DESTIN_GRID_ID1750 -0.0941820 0.0561650 -1.677 0.093566 .
DESTIN_GRID_ID1751 -0.5409649 0.0563602 -9.598 < 2e-16 ***
DESTIN_GRID_ID1753 -0.3756315 0.0561827 -6.686 2.30e-11 ***
DESTIN_GRID_ID1754 0.4667613 0.0560579 8.326 < 2e-16 ***
DESTIN_GRID_ID1755 -0.3284496 0.0561130 -5.853 4.82e-09 ***
DESTIN_GRID_ID1756 -1.4048190 0.0563144 -24.946 < 2e-16 ***
DESTIN_GRID_ID1757 -3.7015103 0.0606583 -61.022 < 2e-16 ***
DESTIN_GRID_ID1769 -0.5417919 0.0563455 -9.616 < 2e-16 ***
DESTIN_GRID_ID1770 -0.8078615 0.0566430 -14.262 < 2e-16 ***
DESTIN_GRID_ID1771 -0.0077434 0.0562428 -0.138 0.890495
DESTIN_GRID_ID1772 1.0966498 0.0564632 19.422 < 2e-16 ***
DESTIN_GRID_ID1774 -1.5267601 0.0564653 -27.039 < 2e-16 ***
DESTIN_GRID_ID1775 -1.9485151 0.0565807 -34.438 < 2e-16 ***
DESTIN_GRID_ID1776 0.2437395 0.0560672 4.347 1.38e-05 ***
DESTIN_GRID_ID1777 -1.9301153 0.0565589 -34.126 < 2e-16 ***
DESTIN_GRID_ID1778 -2.8594198 0.0605519 -47.223 < 2e-16 ***
DESTIN_GRID_ID1790 -0.0060642 0.0562621 -0.108 0.914166
DESTIN_GRID_ID1791 -0.6689403 0.0564005 -11.861 < 2e-16 ***
DESTIN_GRID_ID1792 -0.3852140 0.0564891 -6.819 9.15e-12 ***
DESTIN_GRID_ID1793 -0.4019609 0.0563113 -7.138 9.46e-13 ***
DESTIN_GRID_ID1794 1.4096108 0.0565025 24.948 < 2e-16 ***
DESTIN_GRID_ID1795 -2.8509679 0.0599626 -47.546 < 2e-16 ***
DESTIN_GRID_ID1796 -0.8581862 0.0562601 -15.254 < 2e-16 ***
DESTIN_GRID_ID1797 -1.2846326 0.0562883 -22.822 < 2e-16 ***
DESTIN_GRID_ID1798 -1.2054336 0.0562595 -21.426 < 2e-16 ***
DESTIN_GRID_ID1799 -2.1549309 0.0568104 -37.932 < 2e-16 ***
DESTIN_GRID_ID1800 -4.2746295 0.0860412 -49.681 < 2e-16 ***
DESTIN_GRID_ID1811 -1.0475386 0.0566801 -18.482 < 2e-16 ***
DESTIN_GRID_ID1812 0.3922897 0.0560973 6.993 2.69e-12 ***
DESTIN_GRID_ID1813 0.6243079 0.0560853 11.131 < 2e-16 ***
DESTIN_GRID_ID1817 -2.6948241 0.0577279 -46.682 < 2e-16 ***
DESTIN_GRID_ID1818 -1.5981506 0.0563241 -28.374 < 2e-16 ***
DESTIN_GRID_ID1819 0.0718732 0.0560818 1.282 0.199991
DESTIN_GRID_ID1820 -4.6197072 0.0758115 -60.937 < 2e-16 ***
DESTIN_GRID_ID1832 0.1675440 0.0561951 2.981 0.002869 **
DESTIN_GRID_ID1833 -1.0867842 0.0565082 -19.232 < 2e-16 ***
DESTIN_GRID_ID1834 -1.0689217 0.0564308 -18.942 < 2e-16 ***
DESTIN_GRID_ID1835 -0.9778157 0.0565358 -17.296 < 2e-16 ***
DESTIN_GRID_ID1837 -1.1163099 0.0577606 -19.326 < 2e-16 ***
DESTIN_GRID_ID1839 -2.7673061 0.0576565 -47.996 < 2e-16 ***
DESTIN_GRID_ID1840 0.1471406 0.0560921 2.623 0.008711 **
DESTIN_GRID_ID1841 -3.7587706 0.0627645 -59.887 < 2e-16 ***
DESTIN_GRID_ID1842 -1.2432046 0.0589115 -21.103 < 2e-16 ***
DESTIN_GRID_ID1853 -0.5717510 0.0563132 -10.153 < 2e-16 ***
DESTIN_GRID_ID1854 -0.4088075 0.0562607 -7.266 3.69e-13 ***
DESTIN_GRID_ID1855 -0.0113741 0.0561901 -0.202 0.839587
DESTIN_GRID_ID1858 0.0502997 0.0566260 0.888 0.374390
DESTIN_GRID_ID1860 -2.1217277 0.0602295 -35.227 < 2e-16 ***
DESTIN_GRID_ID1861 -1.3858610 0.0563437 -24.597 < 2e-16 ***
DESTIN_GRID_ID1874 -1.0793397 0.0569939 -18.938 < 2e-16 ***
DESTIN_GRID_ID1875 -2.8509106 0.0608781 -46.830 < 2e-16 ***
DESTIN_GRID_ID1876 -1.5256142 0.0612445 -24.910 < 2e-16 ***
DESTIN_GRID_ID1877 -0.2232308 0.0562275 -3.970 7.18e-05 ***
DESTIN_GRID_ID1880 -0.8757156 0.0577693 -15.159 < 2e-16 ***
DESTIN_GRID_ID1882 -1.4785871 0.0563973 -26.217 < 2e-16 ***
DESTIN_GRID_ID1883 -2.5932751 0.0600904 -43.156 < 2e-16 ***
DESTIN_GRID_ID1895 -0.1066315 0.0562327 -1.896 0.057927 .
DESTIN_GRID_ID1896 -1.2392651 0.0565836 -21.901 < 2e-16 ***
DESTIN_GRID_ID1897 -2.0756001 0.0575081 -36.092 < 2e-16 ***
DESTIN_GRID_ID1898 -2.4207353 0.0615845 -39.308 < 2e-16 ***
DESTIN_GRID_ID1901 -1.3999493 0.0596244 -23.479 < 2e-16 ***
DESTIN_GRID_ID1903 -3.0290635 0.0592728 -51.104 < 2e-16 ***
DESTIN_GRID_ID1917 -1.4512488 0.0568569 -25.525 < 2e-16 ***
DESTIN_GRID_ID1918 -0.2346805 0.0564188 -4.160 3.19e-05 ***
DESTIN_GRID_ID1919 -0.1072727 0.0562055 -1.909 0.056316 .
DESTIN_GRID_ID1922 -0.1693550 0.0570044 -2.971 0.002969 **
DESTIN_GRID_ID1924 -3.2691626 0.0608952 -53.685 < 2e-16 ***
DESTIN_GRID_ID1937 -0.7622392 0.0565472 -13.480 < 2e-16 ***
DESTIN_GRID_ID1938 -0.0119748 0.0561889 -0.213 0.831235
DESTIN_GRID_ID1939 -1.2954584 0.0567809 -22.815 < 2e-16 ***
DESTIN_GRID_ID1942 -1.5250117 0.0591855 -25.767 < 2e-16 ***
DESTIN_GRID_ID1959 -1.2594006 0.0569348 -22.120 < 2e-16 ***
DESTIN_GRID_ID1960 1.0937212 0.0560467 19.514 < 2e-16 ***
DESTIN_GRID_ID1961 -1.4157914 0.0569178 -24.874 < 2e-16 ***
DESTIN_GRID_ID1962 -0.5984494 0.0563450 -10.621 < 2e-16 ***
DESTIN_GRID_ID1964 0.1134006 0.0571542 1.984 0.047243 *
DESTIN_GRID_ID1979 -0.7288324 0.0566397 -12.868 < 2e-16 ***
DESTIN_GRID_ID1980 -1.0381197 0.0564475 -18.391 < 2e-16 ***
DESTIN_GRID_ID1981 -1.0879885 0.0565038 -19.255 < 2e-16 ***
DESTIN_GRID_ID1982 -0.5936218 0.0565709 -10.493 < 2e-16 ***
DESTIN_GRID_ID1983 -0.7389921 0.0563621 -13.112 < 2e-16 ***
DESTIN_GRID_ID1984 -0.5623766 0.0563458 -9.981 < 2e-16 ***
DESTIN_GRID_ID1985 -0.4389630 0.0563042 -7.796 6.38e-15 ***
DESTIN_GRID_ID2001 -0.7481273 0.0564258 -13.259 < 2e-16 ***
DESTIN_GRID_ID2002 -0.7492732 0.0562721 -13.315 < 2e-16 ***
DESTIN_GRID_ID2003 -0.0873263 0.0561801 -1.554 0.120089
DESTIN_GRID_ID2004 0.0697541 0.0561713 1.242 0.214306
DESTIN_GRID_ID2005 -0.9197202 0.0564123 -16.304 < 2e-16 ***
DESTIN_GRID_ID2006 -0.0104534 0.0562035 -0.186 0.852451
DESTIN_GRID_ID2007 -3.4441174 0.0650397 -52.954 < 2e-16 ***
DESTIN_GRID_ID2022 -0.2338603 0.0564259 -4.145 3.40e-05 ***
DESTIN_GRID_ID2023 -0.2304211 0.0562072 -4.099 4.14e-05 ***
DESTIN_GRID_ID2024 0.0976138 0.0561372 1.739 0.082063 .
DESTIN_GRID_ID2025 -1.3101090 0.0564568 -23.206 < 2e-16 ***
DESTIN_GRID_ID2026 -1.9749643 0.0574442 -34.381 < 2e-16 ***
DESTIN_GRID_ID2027 0.0891515 0.0561739 1.587 0.112499
DESTIN_GRID_ID2043 -1.6861358 0.0573793 -29.386 < 2e-16 ***
DESTIN_GRID_ID2044 -0.7337338 0.0563425 -13.023 < 2e-16 ***
DESTIN_GRID_ID2045 -1.3408030 0.0573684 -23.372 < 2e-16 ***
DESTIN_GRID_ID2046 0.0187825 0.0561231 0.335 0.737877
DESTIN_GRID_ID2047 -1.9039512 0.0569349 -33.441 < 2e-16 ***
DESTIN_GRID_ID2048 -1.6254961 0.0567828 -28.627 < 2e-16 ***
DESTIN_GRID_ID2049 -3.3582945 0.0637018 -52.719 < 2e-16 ***
DESTIN_GRID_ID2064 -0.8480949 0.0564989 -15.011 < 2e-16 ***
DESTIN_GRID_ID2065 -0.9750861 0.0564902 -17.261 < 2e-16 ***
DESTIN_GRID_ID2066 -3.3185294 0.0676848 -49.029 < 2e-16 ***
DESTIN_GRID_ID2067 1.5667043 0.0560356 27.959 < 2e-16 ***
DESTIN_GRID_ID2068 -1.9963597 0.0580703 -34.378 < 2e-16 ***
DESTIN_GRID_ID2069 -1.4346733 0.0567772 -25.268 < 2e-16 ***
DESTIN_GRID_ID2085 -0.6534281 0.0565111 -11.563 < 2e-16 ***
DESTIN_GRID_ID2086 0.6584904 0.0561273 11.732 < 2e-16 ***
DESTIN_GRID_ID2087 0.3506632 0.0561446 6.246 4.22e-10 ***
DESTIN_GRID_ID2088 -0.9065527 0.0563219 -16.096 < 2e-16 ***
DESTIN_GRID_ID2089 -1.3845116 0.0567876 -24.381 < 2e-16 ***
DESTIN_GRID_ID2090 1.2607964 0.0560553 22.492 < 2e-16 ***
DESTIN_GRID_ID2091 -4.1374206 0.0905432 -45.696 < 2e-16 ***
DESTIN_GRID_ID2105 -1.5124362 0.0870273 -17.379 < 2e-16 ***
DESTIN_GRID_ID2106 -2.1951697 0.0581592 -37.744 < 2e-16 ***
DESTIN_GRID_ID2107 0.5294521 0.0561292 9.433 < 2e-16 ***
DESTIN_GRID_ID2108 0.1263070 0.0562117 2.247 0.024641 *
DESTIN_GRID_ID2109 -1.3483624 0.0564675 -23.879 < 2e-16 ***
DESTIN_GRID_ID2110 -2.0081654 0.0573911 -34.991 < 2e-16 ***
DESTIN_GRID_ID2111 -3.1822936 0.0667288 -47.690 < 2e-16 ***
DESTIN_GRID_ID2128 -0.4529754 0.0566547 -7.995 1.29e-15 ***
DESTIN_GRID_ID2129 -0.7835643 0.0570909 -13.725 < 2e-16 ***
DESTIN_GRID_ID2130 -0.7456411 0.0563012 -13.244 < 2e-16 ***
DESTIN_GRID_ID2131 -0.7802824 0.0565358 -13.802 < 2e-16 ***
DESTIN_GRID_ID2132 -1.3589117 0.0566327 -23.995 < 2e-16 ***
DESTIN_GRID_ID2148 -1.3839798 0.0584887 -23.662 < 2e-16 ***
DESTIN_GRID_ID2149 -1.3379985 0.0571894 -23.396 < 2e-16 ***
DESTIN_GRID_ID2150 -1.1433086 0.0567871 -20.133 < 2e-16 ***
DESTIN_GRID_ID2151 0.6902199 0.0560843 12.307 < 2e-16 ***
DESTIN_GRID_ID2152 -0.3675627 0.0562763 -6.531 6.52e-11 ***
DESTIN_GRID_ID2153 -1.6478408 0.0573804 -28.718 < 2e-16 ***
DESTIN_GRID_ID2171 -0.1523148 0.0563143 -2.705 0.006836 **
DESTIN_GRID_ID2172 -1.8052824 0.0573168 -31.497 < 2e-16 ***
DESTIN_GRID_ID2173 -1.3511743 0.0565438 -23.896 < 2e-16 ***
DESTIN_GRID_ID2174 -0.6509008 0.0564181 -11.537 < 2e-16 ***
DESTIN_GRID_ID2191 0.0437550 0.0566422 0.772 0.439830
DESTIN_GRID_ID2192 -1.1665321 0.0571783 -20.402 < 2e-16 ***
DESTIN_GRID_ID2193 -0.4768154 0.0563891 -8.456 < 2e-16 ***
DESTIN_GRID_ID2194 -0.5680463 0.0563224 -10.086 < 2e-16 ***
DESTIN_GRID_ID2195 -2.6276727 0.0695591 -37.776 < 2e-16 ***
DESTIN_GRID_ID2212 0.4014930 0.0577915 6.947 3.72e-12 ***
DESTIN_GRID_ID2213 -0.2647703 0.0567494 -4.666 3.08e-06 ***
DESTIN_GRID_ID2214 0.6348489 0.0565161 11.233 < 2e-16 ***
DESTIN_GRID_ID2215 -1.1729227 0.0569530 -20.595 < 2e-16 ***
DESTIN_GRID_ID2216 -0.2255636 0.0563394 -4.004 6.24e-05 ***
DESTIN_GRID_ID2233 0.5512739 0.0569704 9.676 < 2e-16 ***
DESTIN_GRID_ID2234 1.1621395 0.0566632 20.510 < 2e-16 ***
DESTIN_GRID_ID2235 -0.2252947 0.0568113 -3.966 7.32e-05 ***
DESTIN_GRID_ID2236 -1.6739852 0.0577475 -28.988 < 2e-16 ***
DESTIN_GRID_ID2237 -0.1495642 0.0572526 -2.612 0.008992 **
DESTIN_GRID_ID2256 0.0212296 0.0574726 0.369 0.711840
DESTIN_GRID_ID2257 -2.5416784 0.0633055 -40.149 < 2e-16 ***
DESTIN_GRID_ID2258 -0.4015255 0.0564958 -7.107 1.18e-12 ***
DESTIN_GRID_ID2259 0.6374950 0.0570198 11.180 < 2e-16 ***
DESTIN_GRID_ID2277 -1.2082516 0.0620227 -19.481 < 2e-16 ***
DESTIN_GRID_ID2278 -1.0360868 0.0586796 -17.657 < 2e-16 ***
DESTIN_GRID_ID2279 -0.2085146 0.0565187 -3.689 0.000225 ***
DESTIN_GRID_ID2280 -1.5563420 0.0658196 -23.646 < 2e-16 ***
DESTIN_GRID_ID2297 -1.5061469 0.0597708 -25.199 < 2e-16 ***
DESTIN_GRID_ID2300 -1.1987914 0.0598418 -20.033 < 2e-16 ***
DESTIN_GRID_ID2301 -0.5071311 0.0569148 -8.910 < 2e-16 ***
DESTIN_GRID_ID2318 0.8686788 0.0562938 15.431 < 2e-16 ***
DESTIN_GRID_ID2319 0.7954837 0.0562803 14.134 < 2e-16 ***
DESTIN_GRID_ID2322 -0.2244376 0.0569076 -3.944 8.02e-05 ***
DESTIN_GRID_ID2337 0.1722194 0.0597643 2.882 0.003956 **
DESTIN_GRID_ID2341 1.0199551 0.0562668 18.127 < 2e-16 ***
DESTIN_GRID_ID2343 -1.0868948 0.0577983 -18.805 < 2e-16 ***
DESTIN_GRID_ID2361 -0.2378373 0.0568768 -4.182 2.89e-05 ***
DESTIN_GRID_ID2364 -2.3162596 0.0667992 -34.675 < 2e-16 ***
DESTIN_GRID_ID2379 -1.0532866 0.0631078 -16.690 < 2e-16 ***
DESTIN_GRID_ID2384 0.8531988 0.0564276 15.120 < 2e-16 ***
DESTIN_GRID_ID2405 1.6260788 0.0562223 28.922 < 2e-16 ***
DESTIN_GRID_ID2406 -1.4069536 0.0610479 -23.047 < 2e-16 ***
DESTIN_GRID_ID2426 1.0528202 0.0571502 18.422 < 2e-16 ***
DESTIN_GRID_ID2427 1.3156822 0.0564320 23.314 < 2e-16 ***
DESTIN_GRID_ID2505 0.7690332 0.0596973 12.882 < 2e-16 ***
log(dist) -1.5884907 0.0003226 -4924.472 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 81514190 on 62119 degrees of freedom
Residual deviance: 20866989 on 60485 degrees of freedom
AIC: 21205631
Number of Fisher Scoring iterations: 10Model Comparison
In this section we will use the compare_performance() of performance package to compare the root mean square error of the four SIMs. The smaller the values of RMSE , the better the model.
First of all, let us create a list called model_list by using the code chunk below. It contains all our fitted models for all four variations of gravity model.
The output below reveals that doubly constrained SIM is the best model among all the four SIMs because it has the smallest RMSE value of 1026.
Visualising the fitted values
The function below will save the fitted values as a dataframe and append that column of fitted values to the flow_data1 df. We will append all the fitted values of all the four SIMs.
flow_data1 <- process_fitted_values(flow_data1, uncSIM$fitted.values, "uncTRIPS")
flow_data1 <- process_fitted_values(flow_data1, orcSIM$fitted.values, "orcTRIPS")
flow_data1 <- process_fitted_values(flow_data1, decSIM$fitted.values, "decTRIPS")
flow_data1 <- process_fitted_values(flow_data1, dbcSIM$fitted.values, "dbcTRIPS")Using the ggarragne() function of the ggpurpackage, we will now print the ‘actual vs predicted’ plots side-by-side.
Show the code
unc_p <- ggplot(data = flow_data1,
aes(x = uncTRIPS,
y = TRIPS)) +
geom_point(size = 0.5) +
geom_smooth(method = lm)
orc_p <- ggplot(data = flow_data1,
aes(x = orcTRIPS,
y = TRIPS)) +
geom_point(size = 0.5) +
geom_smooth(method = lm)
dec_p <- ggplot(data = flow_data1,
aes(x = decTRIPS,
y = TRIPS)) +
geom_point(size = 0.5) +
geom_smooth(method = lm)
dbc_p <- ggplot(data = flow_data1,
aes(x = dbcTRIPS,
y = TRIPS)) +
geom_point(size = 0.5) +
geom_smooth(method = lm)
ggarrange(unc_p, orc_p, dec_p, dbc_p,
ncol = 2,
nrow = 2)
Discussion:
We can see that the points ‘hug’ more closely to the diagonal blue line, which indicates that doubly constrained model is indeed the best model.
Visualising the residual errors
There are many types of residuals in glm() models like Response, Working, Pearson, Deviance residuals for instance. For simplicity, we will work with Response type, which is derived from ‘actual’ - ‘predicted’ values. In this exercise, I would like to calculate ‘Predicted - Actual’ values instead; so that any over-prediction has positive values and under-predicted values will have a negative residual.
We will use the same function written previously to save the residual values as a dataframe and append that column of residual values to the flow_data1 df. We will append all the residual values of all the four SIMs. (If you are confused, the function name should have been changed to process_residual_values instead)
flow_data1 <- process_fitted_values(flow_data1, -resid(uncSIM, type='response'), "uncRES")
flow_data1 <- process_fitted_values(flow_data1, -resid(orcSIM, type='response'), "orcRES")
flow_data1 <- process_fitted_values(flow_data1, -resid(decSIM, type='response'), "decRES")
flow_data1 <- process_fitted_values(flow_data1, -resid(dbcSIM, type='response'), "dbcRES")Save flow_data1 to local.
Convert flow_data1 to a sf Linestring object.
flowLine2 to get a left join with od_data1 in order to append the origin and destination bus stop descriptions for our map’s tooltip function later.
Save flowLine2 to local
Reload flowLine2 into R
Plot of Residuals against Fitted Values
The charts below allow us to compare the residuals of the four models.
Show the code
unc_rf <- ggplot(data = flow_data1,
aes(x = uncTRIPS,
y = uncRES)) +
geom_point(size = 0.5) +
geom_hline(yintercept = 0, linetype = "dashed", color = "blue")
orc_rf <- ggplot(data = flow_data1,
aes(x = orcTRIPS,
y = orcRES)) +
geom_point(size = 0.5) +
geom_hline(yintercept = 0, linetype = "dashed", color = "blue")
dec_rf <- ggplot(data = flow_data1,
aes(x = decTRIPS,
y = decRES)) +
geom_point(size = 0.5) +
geom_hline(yintercept = 0, linetype = "dashed", color = "blue")
dbc_rf <- ggplot(data = flow_data1,
aes(x = dbcTRIPS,
y = dbcRES)) +
geom_point(size = 0.5) +
geom_hline(yintercept = 0, linetype = "dashed", color = "blue")
ggarrange(unc_rf, orc_rf, dec_rf, dbc_rf,
ncol = 2,
nrow = 2)
All four models produces under-predicted (below X-axis) and over-predicted above X-axis) values. The unconstrained and origin-constrained model (top left) produces greater magnitude of under-predicted errors . The maximum number of actual trips is 75,364 and yet the unconstrained model produces only a maximum of about 15k trips.
Coordinated Plot: Residuals against Fitted Values
Using the highlight() and subplot() functions of the plotly package, we print the ‘residual vs predicted’ coordinated plots side-by-side. Clicking on any point in one of the chart will highlight the same point in the other three maps.
Since the best model is doubly-constrained, we filter to retain only the data points with over-predicted trips of above 20,00 and under-predicted trips of -20,000.
We will use these coordinated charts to identify flows that are consistently radically over and under predicted.
Map Tips: Hover mouse over any points to reveal tool tip that contains predicted value, residuals (predicted - actual) and origin / destination bus-stop descriptions.
Show the code
library(plotly)
d <- highlight_key(flowLine2 %>%
filter(dbcRES<= -20000 | dbcRES >= 20000))
unc_rf <- ggplot(data = d,
aes(x = uncTRIPS,
y = uncRES,
text = paste("Origin: ", ORIGIN_DESC, "<br>Destin: ", DESTIN_DESC))) +
geom_point(size = 0.5) +
geom_hline(yintercept = 0, linetype = "dashed", color = "blue")
orc_rf <- ggplot(data = d,
aes(x = orcTRIPS,
y = orcRES,
text = paste("Origin: ", ORIGIN_DESC, "<br>Destin: ", DESTIN_DESC))) +
geom_point(size = 0.5) +
geom_hline(yintercept = 0, linetype = "dashed", color = "blue")
dec_rf <- ggplot(data = d,
aes(x = decTRIPS,
y = decRES,
text = paste("Origin: ", ORIGIN_DESC, "<br>Destin: ", DESTIN_DESC))) +
geom_point(size = 0.5) +
geom_hline(yintercept = 0, linetype = "dashed", color = "blue")
dbc_rf <- ggplot(data = d,
aes(x = dbcTRIPS,
y = dbcRES,
text = paste("Origin: ", ORIGIN_DESC, "<br>Destin: ", DESTIN_DESC))) +
geom_point(size = 0.5) +
geom_hline(yintercept = 0, linetype = "dashed", color = "blue")
subplot(ggplotly(unc_rf),
ggplotly(orc_rf),
ggplotly(dec_rf),
ggplotly(dbc_rf),
nrows = 2,
titleY = TRUE,
titleX = TRUE,
margin = 0.1)Flows that are consistently largely under-predicted in all four models:
Woodlands checkpoint to Woodlands Bus interchange
Woodlands checkpoint to Kranji MRT station
*It appears that trips related to bus stops near the Woodlands Checkpoint tend to be poorly predicted.
Flows that are consistently largely over-predicted in DEC and DBC models:
Woodlands Train to Woodlands Checkpoint
Other interesting Observations:
Flow from Boon Lay MRT to Pioneer MRT station is badly over-predicted in our best model but predicted rather well in all the other 3 models.
Flows from residential Woodlands/ Punggol to Woodlands Bus interchange. Punggol station are also badly over-predicted in our best model but predicted rather well in all the other 3 models.
Visualising the predicted errors flows
Only flows with under-predicted values of more than 30,000 and over-predicted values of above 10,000 are visualised on the maps.
Red-yellowish lines represents under-predicted flows while blue lines represents over-predicted flows.
Map Tips: Clicking on a flow line will reveal tooltip containing predicted trips, residuals, origin/destination bus stop descriptions and the distance of the route.
Note: Static trellis plots are available after all the interactive maps below.
Unconstrained Model
Show the code
tmap_mode('view')
tmap_options(check.and.fix = TRUE)
filtered_flowLine <- flowLine2 %>%
filter(uncRES >=10000 | uncRES <= -30000)
bs_count_filtered <- bs_count %>%
filter(grid_id %in% c(filtered_flowLine$ORIGIN_GRID_ID, filtered_flowLine$DESTIN_GRID_ID))
unc <- tm_shape(mpsz) +
tm_polygons(alpha=0.3,
col='black') +
tm_shape(bs_count_filtered) +
tm_polygons(alpha=0.3) +
filtered_flowLine %>%
tm_shape() +
tm_lines(col = 'uncRES',
lwd = 5,
style = 'fixed',
breaks = c(-68000,-40000,-20000,0,20000,40000, 60000, 76000),
#scale= c(0.3, 3, 9, 15, 21, 30),
palette = 'RdYlBu',
n = 6,
alpha= 0.9,
popup.vars=c("# Actual Trips:"="TRIPS",
"# Predicted Trips:" = "uncTRIPS",
"Error:" = "uncRES",
"Orig Desc:"="ORIGIN_DESC",
"Destin Desc:" = "DESTIN_DESC",
"Distance:" = 'dist')) +
#col='blue') +
tm_view(set.zoom.limits = c(11,17)) +
tm_layout(main.title = 'Residuals of O-D Flow for Unconstrained SIM' ,
main.title.size = 1.0,
main.title.fontface = 'bold')
uncOrigin-Constrained Model
Show the code
tmap_mode('view')
tmap_options(check.and.fix = TRUE)
filtered_flowLine <- flowLine2 %>%
filter(orcRES >=10000 | orcRES <= -30000)
bs_count_filtered <- bs_count %>%
filter(grid_id %in% c(filtered_flowLine$ORIGIN_GRID_ID, filtered_flowLine$DESTIN_GRID_ID))
orc<- tm_shape(mpsz) +
tm_polygons(alpha=0.3,
col='black') +
tm_shape(bs_count_filtered) +
tm_polygons(alpha=0.3) +
filtered_flowLine %>%
tm_shape() +
tm_lines(col = 'orcRES',
lwd = 5,
style = 'fixed',
breaks = c(-68000,-40000,-20000,0,20000,40000, 60000, 76000),
#scale= c(0.3, 3, 9, 15, 21, 30),
palette = 'RdYlBu',
n = 6,
alpha= 0.9,
popup.vars=c("# Actual Trips:"="TRIPS",
"# Predicted Trips:" = "orcTRIPS",
"Error:" = "orcRES",
"Orig Desc:"="ORIGIN_DESC",
"Destin Desc:" = "DESTIN_DESC",
"Distance:" = 'dist')) +
tm_view(set.zoom.limits = c(11,17)) +
tm_layout(main.title = 'Residuals of O-D Flow for Origin Constrained SIM',
main.title.size = 1.0,
main.title.fontface = 'bold')
orcDestination-Constrained Model
Show the code
tmap_mode('view')
tmap_options(check.and.fix = TRUE)
filtered_flowLine <- flowLine2 %>%
filter(decRES >=10000 | decRES <= -30000)
bs_count_filtered <- bs_count %>%
filter(grid_id %in% c(filtered_flowLine$ORIGIN_GRID_ID, filtered_flowLine$DESTIN_GRID_ID))
dec <- tm_shape(mpsz) +
tm_polygons(alpha=0.3,
col='black') +
tm_shape(bs_count_filtered) +
tm_polygons(alpha=0.3,) +
filtered_flowLine %>%
tm_shape() +
tm_lines(col = 'decRES',
lwd = 5,
style = 'fixed',
breaks = c(-68000,-40000,-20000,0,20000,40000, 60000, 76000),
#scale= c(0.3, 3, 9, 15, 21, 30),
palette = 'RdYlBu',
n = 6,
alpha= 0.9,
popup.vars=c("# Actual Trips:"="TRIPS",
"# Predicted Trips:" = "decTRIPS",
"Error:" = "decRES",
"Orig Desc:"="ORIGIN_DESC",
"Destin Desc:" = "DESTIN_DESC",
"Distance:" = 'dist')) +
tm_view(set.zoom.limits = c(11,17)) +
tm_layout(main.title = 'Residuals of O-D Flow for Destination Constrained SIM' ,
main.title.size = 1.0,
main.title.fontface = 'bold')
decDoubly-Constrained Model
Show the code
tmap_mode('view')
tmap_options(check.and.fix = TRUE)
filtered_flowLine <- flowLine2 %>%
filter(dbcRES >=10000 | dbcRES <= -30000)
bs_count_filtered <- bs_count %>%
filter(grid_id %in% c(filtered_flowLine$ORIGIN_GRID_ID, filtered_flowLine$DESTIN_GRID_ID))
dbc<- tm_shape(mpsz) +
tm_polygons(alpha=0.3,
col='black') +
tm_shape(bs_count_filtered) +
tm_polygons(alpha=0.3) +
filtered_flowLine %>%
tm_shape() +
tm_lines(col = 'dbcRES',
lwd = 5,
style = 'fixed',
breaks = c(-68000,-40000,-20000,0,20000,40000, 60000, 76000),
#scale= c(0.3, 3, 9, 15, 21, 30),
palette = 'RdYlBu',
n = 6,
alpha= 0.9,
popup.vars=c("# Actual Trips:"="TRIPS",
"# Predicted Trips:" = "dbcTRIPS",
"Error:" = "dbcRES",
"Orig Desc:"="ORIGIN_DESC",
"Destin Desc:" = "DESTIN_DESC",
"Distance:" = 'dist')) +
tm_view(set.zoom.limits = c(11,17)) +
tm_layout(main.title = 'Residuals of O-D Flow for Doubly Constrained SIM',
main.title.size = 1.0,
main.title.fontface = 'bold')
dbcWe will plot the residual maps side by side for easy comparison.
Discussion:
At one glance, the unconstrained model tend to under-predict the number of trips than over-predict. The doubly constrained model tend to over-predict the number of trips than to under-predict.
Across all the four models, common regions with high errors in predictions were Woodlands Check Point area, Yishun/Khatib interchange area, Chua Chu Kang interchange area and Boon Lay interchange area.
Removing the Outliers
In our best performing model (Doubly-Constrained), the flow trips that had the highest error in prediction were associated with areas near the Woodlands Checkpoint.
What if we remove the observations that are close to the Woodlands Checkpoint? Will our model improve?
Two observations to remove:
- Origin_grid_id: 1004 to destin_grid_id: 1108
- Origin_grid_id: 983 to destin_grid_id: 939
Write dbcSM_remove to local
Read dbcSIM_remove back to R
As compared to the original model, removing the outliers improved the model R-squared value from 0.59 to 0.61.
The coefficient of the distance variable is -1.59
Call:
glm(formula = TRIPS ~ ORIGIN_GRID_ID + DESTIN_GRID_ID + log(dist),
family = poisson(link = "log"), data = flow_data1 %>% filter(!(ORIGIN_GRID_ID ==
1004 & DESTIN_GRID_ID == 1108) & !(ORIGIN_GRID_ID ==
983 & DESTIN_GRID_ID == 939)), na.action = na.exclude)
Deviance Residuals:
Min 1Q Median 3Q Max
-180.66 -8.93 -3.07 2.56 376.05
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 14.4851688 0.1405216 103.081 < 2e-16 ***
ORIGIN_GRID_ID44 1.7042690 0.2004169 8.504 < 2e-16 ***
ORIGIN_GRID_ID46 -0.1462804 0.1618165 -0.904 0.366001
ORIGIN_GRID_ID66 1.4068935 0.1872662 7.513 5.79e-14 ***
ORIGIN_GRID_ID67 1.7862933 0.1317501 13.558 < 2e-16 ***
ORIGIN_GRID_ID68 -0.6449665 0.1733046 -3.722 0.000198 ***
ORIGIN_GRID_ID86 -0.4793448 0.1543778 -3.105 0.001903 **
ORIGIN_GRID_ID87 3.3450057 0.1505741 22.215 < 2e-16 ***
ORIGIN_GRID_ID88 2.3747505 0.1304746 18.201 < 2e-16 ***
ORIGIN_GRID_ID89 0.2012068 0.1389288 1.448 0.147541
ORIGIN_GRID_ID90 0.9105632 0.1837073 4.957 7.17e-07 ***
ORIGIN_GRID_ID109 0.3375324 0.1681129 2.008 0.044667 *
ORIGIN_GRID_ID110 0.5219570 0.1528279 3.415 0.000637 ***
ORIGIN_GRID_ID111 3.9126524 0.1300236 30.092 < 2e-16 ***
ORIGIN_GRID_ID112 0.1038876 0.1479771 0.702 0.482647
ORIGIN_GRID_ID128 3.0502214 0.1328288 22.964 < 2e-16 ***
ORIGIN_GRID_ID129 0.3431695 0.2294032 1.496 0.134674
ORIGIN_GRID_ID130 1.2642173 0.1413170 8.946 < 2e-16 ***
ORIGIN_GRID_ID131 1.8831640 0.1337198 14.083 < 2e-16 ***
ORIGIN_GRID_ID132 0.1685481 0.1412602 1.193 0.232801
ORIGIN_GRID_ID133 1.0800741 0.1360612 7.938 2.05e-15 ***
ORIGIN_GRID_ID134 4.1178521 0.1328192 31.003 < 2e-16 ***
ORIGIN_GRID_ID150 4.1713164 0.1311405 31.808 < 2e-16 ***
ORIGIN_GRID_ID151 0.4327168 0.1535196 2.819 0.004823 **
ORIGIN_GRID_ID152 0.2181208 0.1561837 1.397 0.162544
ORIGIN_GRID_ID153 1.4518070 0.1371663 10.584 < 2e-16 ***
ORIGIN_GRID_ID154 4.1298155 0.1295130 31.887 < 2e-16 ***
ORIGIN_GRID_ID155 0.9748594 0.1351603 7.213 5.49e-13 ***
ORIGIN_GRID_ID156 1.6910707 0.1406765 12.021 < 2e-16 ***
ORIGIN_GRID_ID172 2.3071599 0.1458947 15.814 < 2e-16 ***
ORIGIN_GRID_ID174 1.1013765 0.1381923 7.970 1.59e-15 ***
ORIGIN_GRID_ID175 3.8098295 0.1298065 29.350 < 2e-16 ***
ORIGIN_GRID_ID176 4.8283574 0.1293887 37.317 < 2e-16 ***
ORIGIN_GRID_ID195 -0.0893865 0.1564885 -0.571 0.567863
ORIGIN_GRID_ID196 0.9031450 0.1363298 6.625 3.48e-11 ***
ORIGIN_GRID_ID197 0.0761665 0.1861093 0.409 0.682351
ORIGIN_GRID_ID215 1.4484262 0.1628878 8.892 < 2e-16 ***
ORIGIN_GRID_ID216 5.2406306 0.1295160 40.463 < 2e-16 ***
ORIGIN_GRID_ID217 2.3675510 0.1312747 18.035 < 2e-16 ***
ORIGIN_GRID_ID237 0.4354765 0.3281537 1.327 0.184492
ORIGIN_GRID_ID238 0.8396669 0.1502045 5.590 2.27e-08 ***
ORIGIN_GRID_ID239 1.1049924 0.1939422 5.698 1.22e-08 ***
ORIGIN_GRID_ID257 0.2022865 0.1438869 1.406 0.159762
ORIGIN_GRID_ID258 2.2490149 0.1326431 16.955 < 2e-16 ***
ORIGIN_GRID_ID259 1.4801500 0.1358433 10.896 < 2e-16 ***
ORIGIN_GRID_ID278 1.6235026 0.1350935 12.018 < 2e-16 ***
ORIGIN_GRID_ID279 0.4196415 0.1383956 3.032 0.002428 **
ORIGIN_GRID_ID280 0.9458034 0.1389417 6.807 9.95e-12 ***
ORIGIN_GRID_ID298 -3.1158855 0.3996755 -7.796 6.39e-15 ***
ORIGIN_GRID_ID299 0.1406697 0.1426886 0.986 0.324206
ORIGIN_GRID_ID300 4.1776917 0.1297131 32.207 < 2e-16 ***
ORIGIN_GRID_ID320 -0.2674464 0.1396198 -1.916 0.055424 .
ORIGIN_GRID_ID321 0.8241703 0.1524896 5.405 6.49e-08 ***
ORIGIN_GRID_ID322 2.5808389 0.1357701 19.009 < 2e-16 ***
ORIGIN_GRID_ID340 1.9851739 0.1332481 14.898 < 2e-16 ***
ORIGIN_GRID_ID341 -0.1172620 0.1389908 -0.844 0.398855
ORIGIN_GRID_ID342 2.0000073 0.1363825 14.665 < 2e-16 ***
ORIGIN_GRID_ID363 1.5851687 0.1356107 11.689 < 2e-16 ***
ORIGIN_GRID_ID364 2.1529743 0.1323656 16.265 < 2e-16 ***
ORIGIN_GRID_ID383 1.0470217 0.1338321 7.823 5.14e-15 ***
ORIGIN_GRID_ID384 0.5093183 0.1397405 3.645 0.000268 ***
ORIGIN_GRID_ID385 0.8800890 0.1471796 5.980 2.24e-09 ***
ORIGIN_GRID_ID404 2.1435420 0.1331731 16.096 < 2e-16 ***
ORIGIN_GRID_ID405 0.5432050 0.1412116 3.847 0.000120 ***
ORIGIN_GRID_ID406 5.9897364 0.1294235 46.280 < 2e-16 ***
ORIGIN_GRID_ID407 1.9633825 0.1387013 14.155 < 2e-16 ***
ORIGIN_GRID_ID408 2.7033241 0.1319538 20.487 < 2e-16 ***
ORIGIN_GRID_ID425 -0.6399213 0.1660369 -3.854 0.000116 ***
ORIGIN_GRID_ID426 1.4875662 0.1331494 11.172 < 2e-16 ***
ORIGIN_GRID_ID427 0.6572721 0.1382622 4.754 2.00e-06 ***
ORIGIN_GRID_ID428 0.1281629 0.1799589 0.712 0.476354
ORIGIN_GRID_ID429 2.3300062 0.1312831 17.748 < 2e-16 ***
ORIGIN_GRID_ID446 0.9475340 0.1481068 6.398 1.58e-10 ***
ORIGIN_GRID_ID447 0.9099612 0.1358647 6.698 2.12e-11 ***
ORIGIN_GRID_ID448 1.9578928 0.1324686 14.780 < 2e-16 ***
ORIGIN_GRID_ID449 5.1761170 0.1296025 39.938 < 2e-16 ***
ORIGIN_GRID_ID450 2.1369124 0.1311199 16.297 < 2e-16 ***
ORIGIN_GRID_ID468 1.8100091 0.1335909 13.549 < 2e-16 ***
ORIGIN_GRID_ID469 3.1359641 0.1303693 24.054 < 2e-16 ***
ORIGIN_GRID_ID470 5.2251456 0.1295369 40.337 < 2e-16 ***
ORIGIN_GRID_ID471 3.0044294 0.1306834 22.990 < 2e-16 ***
ORIGIN_GRID_ID488 0.6480648 0.1425120 4.547 5.43e-06 ***
ORIGIN_GRID_ID489 -1.0684302 0.2130475 -5.015 5.30e-07 ***
ORIGIN_GRID_ID490 3.6266973 0.1300427 27.889 < 2e-16 ***
ORIGIN_GRID_ID491 4.1323310 0.1296861 31.864 < 2e-16 ***
ORIGIN_GRID_ID493 -1.6322021 0.2537613 -6.432 1.26e-10 ***
ORIGIN_GRID_ID494 0.7416704 0.1520352 4.878 1.07e-06 ***
ORIGIN_GRID_ID509 0.6662404 0.1352715 4.925 8.43e-07 ***
ORIGIN_GRID_ID510 1.4545165 0.1322838 10.995 < 2e-16 ***
ORIGIN_GRID_ID511 3.0352610 0.1299473 23.358 < 2e-16 ***
ORIGIN_GRID_ID512 5.7557255 0.1294768 44.454 < 2e-16 ***
ORIGIN_GRID_ID513 2.1626273 0.1324006 16.334 < 2e-16 ***
ORIGIN_GRID_ID514 1.4054005 0.1410063 9.967 < 2e-16 ***
ORIGIN_GRID_ID515 0.0044531 0.2585998 0.017 0.986261
ORIGIN_GRID_ID530 -0.2664372 0.1580700 -1.686 0.091880 .
ORIGIN_GRID_ID531 1.9443853 0.1311488 14.826 < 2e-16 ***
ORIGIN_GRID_ID532 1.3532474 0.1322661 10.231 < 2e-16 ***
ORIGIN_GRID_ID533 5.4233587 0.1294776 41.886 < 2e-16 ***
ORIGIN_GRID_ID534 6.0452672 0.1294907 46.685 < 2e-16 ***
ORIGIN_GRID_ID536 2.7686225 0.1323674 20.916 < 2e-16 ***
ORIGIN_GRID_ID537 0.4137729 0.2322740 1.781 0.074847 .
ORIGIN_GRID_ID538 0.3389666 0.2888666 1.173 0.240621
ORIGIN_GRID_ID539 0.1664552 1.0089948 0.165 0.868967
ORIGIN_GRID_ID551 -0.2247226 0.1415154 -1.588 0.112292
ORIGIN_GRID_ID552 2.2504435 0.1349746 16.673 < 2e-16 ***
ORIGIN_GRID_ID553 1.8139980 0.1308029 13.868 < 2e-16 ***
ORIGIN_GRID_ID554 5.3590459 0.1294853 41.387 < 2e-16 ***
ORIGIN_GRID_ID555 4.6237852 0.1296842 35.654 < 2e-16 ***
ORIGIN_GRID_ID559 1.1629843 0.1680255 6.921 4.47e-12 ***
ORIGIN_GRID_ID560 3.2805615 0.1414605 23.191 < 2e-16 ***
ORIGIN_GRID_ID561 -1.3513588 1.0097288 -1.338 0.180786
ORIGIN_GRID_ID572 -2.5364914 0.5919853 -4.285 1.83e-05 ***
ORIGIN_GRID_ID573 0.1285241 0.1380193 0.931 0.351748
ORIGIN_GRID_ID574 1.7564878 0.1349869 13.012 < 2e-16 ***
ORIGIN_GRID_ID575 6.3859867 0.1294556 49.330 < 2e-16 ***
ORIGIN_GRID_ID576 4.9786003 0.1295429 38.432 < 2e-16 ***
ORIGIN_GRID_ID578 0.3752838 0.1662880 2.257 0.024019 *
ORIGIN_GRID_ID582 0.6240974 0.1702576 3.666 0.000247 ***
ORIGIN_GRID_ID583 1.5799442 0.5919014 2.669 0.007602 **
ORIGIN_GRID_ID584 3.9786995 0.1421284 27.994 < 2e-16 ***
ORIGIN_GRID_ID593 1.3287281 0.1396774 9.513 < 2e-16 ***
ORIGIN_GRID_ID594 1.4016125 0.1322004 10.602 < 2e-16 ***
ORIGIN_GRID_ID595 1.6668730 0.1309918 12.725 < 2e-16 ***
ORIGIN_GRID_ID596 4.7191270 0.1295152 36.437 < 2e-16 ***
ORIGIN_GRID_ID597 2.0049843 0.1432580 13.996 < 2e-16 ***
ORIGIN_GRID_ID603 1.1765515 0.1754624 6.705 2.01e-11 ***
ORIGIN_GRID_ID604 1.6321084 0.2319551 7.036 1.97e-12 ***
ORIGIN_GRID_ID615 -0.0628564 0.1391125 -0.452 0.651385
ORIGIN_GRID_ID616 1.1269988 0.1336113 8.435 < 2e-16 ***
ORIGIN_GRID_ID617 2.0238620 0.1308870 15.463 < 2e-16 ***
ORIGIN_GRID_ID618 5.4080119 0.1294985 41.761 < 2e-16 ***
ORIGIN_GRID_ID620 2.7656089 0.1334331 20.727 < 2e-16 ***
ORIGIN_GRID_ID637 0.8359611 0.1372363 6.091 1.12e-09 ***
ORIGIN_GRID_ID638 4.8213101 0.1295145 37.226 < 2e-16 ***
ORIGIN_GRID_ID657 2.6618843 0.1306457 20.375 < 2e-16 ***
ORIGIN_GRID_ID658 4.1675648 0.1296165 32.153 < 2e-16 ***
ORIGIN_GRID_ID659 4.3804392 0.1295669 33.808 < 2e-16 ***
ORIGIN_GRID_ID660 5.4588545 0.1294911 42.156 < 2e-16 ***
ORIGIN_GRID_ID662 5.5896333 0.1296745 43.105 < 2e-16 ***
ORIGIN_GRID_ID677 2.5554172 0.1316740 19.407 < 2e-16 ***
ORIGIN_GRID_ID678 0.3585136 0.1388122 2.583 0.009802 **
ORIGIN_GRID_ID679 5.3857949 0.1294991 41.589 < 2e-16 ***
ORIGIN_GRID_ID680 5.6443456 0.1294980 43.586 < 2e-16 ***
ORIGIN_GRID_ID681 4.3851455 0.1297494 33.797 < 2e-16 ***
ORIGIN_GRID_ID699 2.0720631 0.1316520 15.739 < 2e-16 ***
ORIGIN_GRID_ID700 4.3733758 0.1296022 33.745 < 2e-16 ***
ORIGIN_GRID_ID701 4.2548348 0.1296051 32.829 < 2e-16 ***
ORIGIN_GRID_ID702 5.3054592 0.1294969 40.970 < 2e-16 ***
ORIGIN_GRID_ID704 2.4183472 0.1339768 18.050 < 2e-16 ***
ORIGIN_GRID_ID722 2.0257863 0.1310918 15.453 < 2e-16 ***
ORIGIN_GRID_ID725 1.9789263 0.1360956 14.541 < 2e-16 ***
ORIGIN_GRID_ID741 2.6340336 0.1305806 20.172 < 2e-16 ***
ORIGIN_GRID_ID743 2.8136057 0.1301539 21.618 < 2e-16 ***
ORIGIN_GRID_ID744 4.8444449 0.1295366 37.398 < 2e-16 ***
ORIGIN_GRID_ID761 2.0727207 0.1330364 15.580 < 2e-16 ***
ORIGIN_GRID_ID762 4.1401003 0.1296723 31.927 < 2e-16 ***
ORIGIN_GRID_ID763 1.2945030 0.1329916 9.734 < 2e-16 ***
ORIGIN_GRID_ID764 5.3636367 0.1294965 41.419 < 2e-16 ***
ORIGIN_GRID_ID765 4.6427605 0.1297427 35.784 < 2e-16 ***
ORIGIN_GRID_ID767 6.4859975 0.1295112 50.081 < 2e-16 ***
ORIGIN_GRID_ID772 1.2299332 0.1532828 8.024 1.02e-15 ***
ORIGIN_GRID_ID784 1.2222998 0.1326000 9.218 < 2e-16 ***
ORIGIN_GRID_ID785 4.5263746 0.1295270 34.945 < 2e-16 ***
ORIGIN_GRID_ID786 4.2351868 0.1296057 32.677 < 2e-16 ***
ORIGIN_GRID_ID787 4.8177140 0.1296767 37.152 < 2e-16 ***
ORIGIN_GRID_ID788 5.6979278 0.1295769 43.973 < 2e-16 ***
ORIGIN_GRID_ID789 4.1359944 0.1299438 31.829 < 2e-16 ***
ORIGIN_GRID_ID803 0.1088503 0.1447709 0.752 0.452123
ORIGIN_GRID_ID804 5.1630532 0.1295228 39.862 < 2e-16 ***
ORIGIN_GRID_ID805 5.1789070 0.1294963 39.993 < 2e-16 ***
ORIGIN_GRID_ID806 4.8556786 0.1295260 37.488 < 2e-16 ***
ORIGIN_GRID_ID807 5.9000733 0.1295287 45.550 < 2e-16 ***
ORIGIN_GRID_ID808 4.1210651 0.1299677 31.708 < 2e-16 ***
ORIGIN_GRID_ID809 5.8708146 0.1295026 45.334 < 2e-16 ***
ORIGIN_GRID_ID810 5.1117294 0.1296030 39.441 < 2e-16 ***
ORIGIN_GRID_ID814 3.1603081 0.1325869 23.836 < 2e-16 ***
ORIGIN_GRID_ID819 5.0787067 0.1310086 38.766 < 2e-16 ***
ORIGIN_GRID_ID824 1.2190282 0.1361885 8.951 < 2e-16 ***
ORIGIN_GRID_ID826 2.8006823 0.1298986 21.561 < 2e-16 ***
ORIGIN_GRID_ID827 4.8006739 0.1295141 37.067 < 2e-16 ***
ORIGIN_GRID_ID828 5.2133674 0.1295066 40.256 < 2e-16 ***
ORIGIN_GRID_ID829 5.2690361 0.1295391 40.675 < 2e-16 ***
ORIGIN_GRID_ID830 5.5571103 0.1295628 42.891 < 2e-16 ***
ORIGIN_GRID_ID831 6.4120402 0.1294868 49.519 < 2e-16 ***
ORIGIN_GRID_ID832 5.4906985 0.1296488 42.351 < 2e-16 ***
ORIGIN_GRID_ID835 3.1271377 0.1329327 23.524 < 2e-16 ***
ORIGIN_GRID_ID844 0.3063797 0.1512423 2.026 0.042790 *
ORIGIN_GRID_ID846 4.2129872 0.1295727 32.514 < 2e-16 ***
ORIGIN_GRID_ID847 3.2193608 0.1298728 24.789 < 2e-16 ***
ORIGIN_GRID_ID848 4.5803112 0.1295478 35.356 < 2e-16 ***
ORIGIN_GRID_ID849 3.8340702 0.1297064 29.560 < 2e-16 ***
ORIGIN_GRID_ID850 4.6871562 0.1295853 36.170 < 2e-16 ***
ORIGIN_GRID_ID851 5.2915201 0.1295246 40.853 < 2e-16 ***
ORIGIN_GRID_ID852 4.8278077 0.1296248 37.244 < 2e-16 ***
ORIGIN_GRID_ID853 6.8194009 0.1295344 52.645 < 2e-16 ***
ORIGIN_GRID_ID854 3.4090777 0.1321856 25.790 < 2e-16 ***
ORIGIN_GRID_ID855 1.9750770 0.1373399 14.381 < 2e-16 ***
ORIGIN_GRID_ID856 3.5403417 0.1309488 27.036 < 2e-16 ***
ORIGIN_GRID_ID866 2.1393559 0.1326393 16.129 < 2e-16 ***
ORIGIN_GRID_ID867 3.0548025 0.1300633 23.487 < 2e-16 ***
ORIGIN_GRID_ID868 2.0974047 0.1313001 15.974 < 2e-16 ***
ORIGIN_GRID_ID869 4.9964892 0.1295986 38.554 < 2e-16 ***
ORIGIN_GRID_ID870 5.7588622 0.1294848 44.475 < 2e-16 ***
ORIGIN_GRID_ID871 5.5624375 0.1296062 42.918 < 2e-16 ***
ORIGIN_GRID_ID872 3.4789128 0.1299961 26.762 < 2e-16 ***
ORIGIN_GRID_ID873 3.6944907 0.1299113 28.439 < 2e-16 ***
ORIGIN_GRID_ID874 4.0511601 0.1297293 31.228 < 2e-16 ***
ORIGIN_GRID_ID875 1.0469868 0.1471063 7.117 1.10e-12 ***
ORIGIN_GRID_ID876 2.3582407 0.1333099 17.690 < 2e-16 ***
ORIGIN_GRID_ID877 1.8384423 0.1364880 13.470 < 2e-16 ***
ORIGIN_GRID_ID887 2.4459277 0.1302446 18.779 < 2e-16 ***
ORIGIN_GRID_ID888 3.9106686 0.1296723 30.158 < 2e-16 ***
ORIGIN_GRID_ID889 0.8270070 0.1340917 6.167 6.94e-10 ***
ORIGIN_GRID_ID890 5.2019796 0.1295059 40.168 < 2e-16 ***
ORIGIN_GRID_ID891 3.9257520 0.1299946 30.199 < 2e-16 ***
ORIGIN_GRID_ID893 5.3488335 0.1295173 41.298 < 2e-16 ***
ORIGIN_GRID_ID894 3.5986113 0.1299094 27.701 < 2e-16 ***
ORIGIN_GRID_ID895 3.0998931 0.1304272 23.767 < 2e-16 ***
ORIGIN_GRID_ID896 1.9343061 0.1331909 14.523 < 2e-16 ***
ORIGIN_GRID_ID897 0.4774230 0.1496444 3.190 0.001421 **
ORIGIN_GRID_ID898 2.6098283 0.1337418 19.514 < 2e-16 ***
ORIGIN_GRID_ID908 3.9091202 0.1301046 30.046 < 2e-16 ***
ORIGIN_GRID_ID909 3.9174535 0.1295957 30.228 < 2e-16 ***
ORIGIN_GRID_ID910 2.0577157 0.1306055 15.755 < 2e-16 ***
ORIGIN_GRID_ID911 3.3488100 0.1298002 25.800 < 2e-16 ***
ORIGIN_GRID_ID912 4.9284128 0.1295253 38.050 < 2e-16 ***
ORIGIN_GRID_ID915 5.2441385 0.1295293 40.486 < 2e-16 ***
ORIGIN_GRID_ID917 4.8618197 0.1296764 37.492 < 2e-16 ***
ORIGIN_GRID_ID918 1.3902395 0.1360640 10.218 < 2e-16 ***
ORIGIN_GRID_ID919 4.5854532 0.1298136 35.323 < 2e-16 ***
ORIGIN_GRID_ID928 2.7530432 0.1303501 21.120 < 2e-16 ***
ORIGIN_GRID_ID929 4.3481757 0.1295367 33.567 < 2e-16 ***
ORIGIN_GRID_ID930 5.1950357 0.1294879 40.120 < 2e-16 ***
ORIGIN_GRID_ID931 2.1565936 0.1307432 16.495 < 2e-16 ***
ORIGIN_GRID_ID932 2.6809723 0.1307666 20.502 < 2e-16 ***
ORIGIN_GRID_ID933 4.7902806 0.1295861 36.966 < 2e-16 ***
ORIGIN_GRID_ID934 2.2528615 0.1310353 17.193 < 2e-16 ***
ORIGIN_GRID_ID935 6.1154273 0.1294860 47.228 < 2e-16 ***
ORIGIN_GRID_ID938 -1.8821676 0.3061130 -6.149 7.82e-10 ***
ORIGIN_GRID_ID939 5.9605868 0.1295298 46.017 < 2e-16 ***
ORIGIN_GRID_ID940 0.1288967 0.1603344 0.804 0.421441
ORIGIN_GRID_ID949 2.6098011 0.1302975 20.030 < 2e-16 ***
ORIGIN_GRID_ID950 4.7676115 0.1295574 36.799 < 2e-16 ***
ORIGIN_GRID_ID951 5.6275625 0.1294792 43.463 < 2e-16 ***
ORIGIN_GRID_ID952 2.3365000 0.1313980 17.782 < 2e-16 ***
ORIGIN_GRID_ID953 3.5054548 0.1298611 26.994 < 2e-16 ***
ORIGIN_GRID_ID954 2.3977184 0.1307540 18.338 < 2e-16 ***
ORIGIN_GRID_ID955 4.6630752 0.1295871 35.984 < 2e-16 ***
ORIGIN_GRID_ID956 3.0678892 0.1300363 23.593 < 2e-16 ***
ORIGIN_GRID_ID957 5.2433368 0.1295932 40.460 < 2e-16 ***
ORIGIN_GRID_ID959 1.2035783 0.1401509 8.588 < 2e-16 ***
ORIGIN_GRID_ID961 1.3619896 0.1343235 10.140 < 2e-16 ***
ORIGIN_GRID_ID962 6.2838464 0.1296677 48.461 < 2e-16 ***
ORIGIN_GRID_ID970 3.1724112 0.1297396 24.452 < 2e-16 ***
ORIGIN_GRID_ID971 4.5053460 0.1295122 34.787 < 2e-16 ***
ORIGIN_GRID_ID972 4.4471628 0.1295414 34.330 < 2e-16 ***
ORIGIN_GRID_ID974 4.0490280 0.1296875 31.221 < 2e-16 ***
ORIGIN_GRID_ID975 3.7080718 0.1297934 28.569 < 2e-16 ***
ORIGIN_GRID_ID976 2.4522316 0.1306273 18.773 < 2e-16 ***
ORIGIN_GRID_ID977 5.6219181 0.1295075 43.410 < 2e-16 ***
ORIGIN_GRID_ID978 5.5323372 0.1296544 42.670 < 2e-16 ***
ORIGIN_GRID_ID982 2.3647030 0.1305589 18.112 < 2e-16 ***
ORIGIN_GRID_ID983 5.9947291 0.1296498 46.238 < 2e-16 ***
ORIGIN_GRID_ID984 7.4835486 0.1296271 57.731 < 2e-16 ***
ORIGIN_GRID_ID991 3.1530240 0.1298266 24.286 < 2e-16 ***
ORIGIN_GRID_ID992 3.5226254 0.1296557 27.169 < 2e-16 ***
ORIGIN_GRID_ID993 3.2081875 0.1297052 24.734 < 2e-16 ***
ORIGIN_GRID_ID994 2.7597564 0.1299994 21.229 < 2e-16 ***
ORIGIN_GRID_ID995 4.2447409 0.1295870 32.756 < 2e-16 ***
ORIGIN_GRID_ID996 3.9438149 0.1297109 30.405 < 2e-16 ***
ORIGIN_GRID_ID997 2.6945140 0.1328951 20.275 < 2e-16 ***
ORIGIN_GRID_ID998 5.7343459 0.1295125 44.276 < 2e-16 ***
ORIGIN_GRID_ID999 5.7129901 0.1295902 44.085 < 2e-16 ***
ORIGIN_GRID_ID1001 2.5989801 0.1320699 19.679 < 2e-16 ***
ORIGIN_GRID_ID1003 5.2878687 0.1295367 40.821 < 2e-16 ***
ORIGIN_GRID_ID1004 5.3343842 0.1295416 41.179 < 2e-16 ***
ORIGIN_GRID_ID1011 1.3692100 0.1339558 10.221 < 2e-16 ***
ORIGIN_GRID_ID1012 0.9496278 0.1360473 6.980 2.95e-12 ***
ORIGIN_GRID_ID1013 1.8422298 0.1308414 14.080 < 2e-16 ***
ORIGIN_GRID_ID1014 2.7426746 0.1299994 21.098 < 2e-16 ***
ORIGIN_GRID_ID1015 2.0425554 0.1308071 15.615 < 2e-16 ***
ORIGIN_GRID_ID1016 3.8792332 0.1297001 29.909 < 2e-16 ***
ORIGIN_GRID_ID1018 4.6205668 0.1298574 35.582 < 2e-16 ***
ORIGIN_GRID_ID1019 6.1440182 0.1295518 47.425 < 2e-16 ***
ORIGIN_GRID_ID1023 4.1822830 0.1298239 32.215 < 2e-16 ***
ORIGIN_GRID_ID1024 5.2528556 0.1295474 40.548 < 2e-16 ***
ORIGIN_GRID_ID1025 0.4221625 0.1461982 2.888 0.003882 **
ORIGIN_GRID_ID1033 2.4843122 0.1301206 19.092 < 2e-16 ***
ORIGIN_GRID_ID1034 3.5073211 0.1296952 27.043 < 2e-16 ***
ORIGIN_GRID_ID1035 4.2837576 0.1295764 33.060 < 2e-16 ***
ORIGIN_GRID_ID1036 2.0755191 0.1307386 15.875 < 2e-16 ***
ORIGIN_GRID_ID1037 3.4897111 0.1296871 26.909 < 2e-16 ***
ORIGIN_GRID_ID1043 2.5566669 0.1322212 19.336 < 2e-16 ***
ORIGIN_GRID_ID1045 4.9307555 0.1295429 38.063 < 2e-16 ***
ORIGIN_GRID_ID1046 4.8905827 0.1295733 37.744 < 2e-16 ***
ORIGIN_GRID_ID1053 4.0854320 0.1296047 31.522 < 2e-16 ***
ORIGIN_GRID_ID1054 2.9605318 0.1297939 22.809 < 2e-16 ***
ORIGIN_GRID_ID1055 4.1429096 0.1295702 31.974 < 2e-16 ***
ORIGIN_GRID_ID1056 3.1454460 0.1298445 24.225 < 2e-16 ***
ORIGIN_GRID_ID1064 0.2131839 0.2889233 0.738 0.460602
ORIGIN_GRID_ID1066 4.6862731 0.1295716 36.167 < 2e-16 ***
ORIGIN_GRID_ID1067 -0.9904251 0.2417456 -4.097 4.19e-05 ***
ORIGIN_GRID_ID1074 3.3702393 0.1297325 25.978 < 2e-16 ***
ORIGIN_GRID_ID1075 2.5552420 0.1300269 19.652 < 2e-16 ***
ORIGIN_GRID_ID1076 2.8463568 0.1297986 21.929 < 2e-16 ***
ORIGIN_GRID_ID1077 3.0066988 0.1299451 23.138 < 2e-16 ***
ORIGIN_GRID_ID1079 4.4131543 0.1295796 34.057 < 2e-16 ***
ORIGIN_GRID_ID1085 -1.4790825 0.2215684 -6.676 2.46e-11 ***
ORIGIN_GRID_ID1087 4.7268319 0.1296032 36.472 < 2e-16 ***
ORIGIN_GRID_ID1088 2.9844708 0.1300714 22.945 < 2e-16 ***
ORIGIN_GRID_ID1094 1.3973136 0.1386685 10.077 < 2e-16 ***
ORIGIN_GRID_ID1095 0.7933646 0.1368234 5.798 6.69e-09 ***
ORIGIN_GRID_ID1096 2.8296938 0.1314608 21.525 < 2e-16 ***
ORIGIN_GRID_ID1097 4.8064529 0.1295123 37.112 < 2e-16 ***
ORIGIN_GRID_ID1098 2.4044239 0.1309934 18.355 < 2e-16 ***
ORIGIN_GRID_ID1099 3.8256068 0.1296599 29.505 < 2e-16 ***
ORIGIN_GRID_ID1105 1.3079775 0.1520134 8.604 < 2e-16 ***
ORIGIN_GRID_ID1106 -0.2276979 0.1736389 -1.311 0.189746
ORIGIN_GRID_ID1107 2.3598355 0.1331096 17.729 < 2e-16 ***
ORIGIN_GRID_ID1108 6.5407755 0.1294866 50.513 < 2e-16 ***
ORIGIN_GRID_ID1109 1.6971775 0.1324761 12.811 < 2e-16 ***
ORIGIN_GRID_ID1116 3.1861706 0.1297970 24.547 < 2e-16 ***
ORIGIN_GRID_ID1117 1.5176749 0.1314870 11.542 < 2e-16 ***
ORIGIN_GRID_ID1118 2.0068808 0.1311075 15.307 < 2e-16 ***
ORIGIN_GRID_ID1119 2.9944241 0.1299506 23.043 < 2e-16 ***
ORIGIN_GRID_ID1120 2.9541060 0.1302886 22.674 < 2e-16 ***
ORIGIN_GRID_ID1129 5.0543710 0.1295598 39.012 < 2e-16 ***
ORIGIN_GRID_ID1130 5.0501125 0.1295277 38.989 < 2e-16 ***
ORIGIN_GRID_ID1131 2.8945987 0.1306686 22.152 < 2e-16 ***
ORIGIN_GRID_ID1136 2.2264765 0.1304067 17.073 < 2e-16 ***
ORIGIN_GRID_ID1138 1.0282958 0.1357144 7.577 3.54e-14 ***
ORIGIN_GRID_ID1139 3.9805773 0.1295749 30.720 < 2e-16 ***
ORIGIN_GRID_ID1141 3.9503843 0.1296301 30.474 < 2e-16 ***
ORIGIN_GRID_ID1148 1.3408943 0.1408300 9.521 < 2e-16 ***
ORIGIN_GRID_ID1149 2.8024154 0.1310217 21.389 < 2e-16 ***
ORIGIN_GRID_ID1150 5.2858207 0.1295177 40.812 < 2e-16 ***
ORIGIN_GRID_ID1151 4.1203694 0.1296415 31.783 < 2e-16 ***
ORIGIN_GRID_ID1158 2.2701398 0.1300766 17.452 < 2e-16 ***
ORIGIN_GRID_ID1159 3.7611681 0.1295994 29.022 < 2e-16 ***
ORIGIN_GRID_ID1160 4.8071515 0.1295149 37.117 < 2e-16 ***
ORIGIN_GRID_ID1171 5.8557063 0.1295288 45.208 < 2e-16 ***
ORIGIN_GRID_ID1172 5.6489420 0.1295260 43.612 < 2e-16 ***
ORIGIN_GRID_ID1173 2.8766934 0.1301920 22.096 < 2e-16 ***
ORIGIN_GRID_ID1174 -1.3483478 0.2889053 -4.667 3.05e-06 ***
ORIGIN_GRID_ID1178 2.5122230 0.1300060 19.324 < 2e-16 ***
ORIGIN_GRID_ID1179 3.1854328 0.1296935 24.561 < 2e-16 ***
ORIGIN_GRID_ID1180 4.2861365 0.1295393 33.088 < 2e-16 ***
ORIGIN_GRID_ID1181 3.5697530 0.1296571 27.532 < 2e-16 ***
ORIGIN_GRID_ID1183 2.6719491 0.1302616 20.512 < 2e-16 ***
ORIGIN_GRID_ID1190 1.6462335 0.1391259 11.833 < 2e-16 ***
ORIGIN_GRID_ID1192 4.5256804 0.1296380 34.910 < 2e-16 ***
ORIGIN_GRID_ID1193 4.4831197 0.1295853 34.596 < 2e-16 ***
ORIGIN_GRID_ID1194 2.6592846 0.1304248 20.389 < 2e-16 ***
ORIGIN_GRID_ID1200 3.3510384 0.1296636 25.844 < 2e-16 ***
ORIGIN_GRID_ID1201 3.1314059 0.1297033 24.143 < 2e-16 ***
ORIGIN_GRID_ID1203 4.0408206 0.1296138 31.176 < 2e-16 ***
ORIGIN_GRID_ID1204 3.8857146 0.1296366 29.974 < 2e-16 ***
ORIGIN_GRID_ID1211 0.3813337 0.2538849 1.502 0.133099
ORIGIN_GRID_ID1214 5.3089387 0.1295355 40.984 < 2e-16 ***
ORIGIN_GRID_ID1215 1.7147503 0.1368669 12.529 < 2e-16 ***
ORIGIN_GRID_ID1216 0.7334072 0.1369348 5.356 8.51e-08 ***
ORIGIN_GRID_ID1220 4.3057999 0.1295378 33.240 < 2e-16 ***
ORIGIN_GRID_ID1221 3.9976542 0.1295511 30.858 < 2e-16 ***
ORIGIN_GRID_ID1222 3.6611952 0.1299040 28.184 < 2e-16 ***
ORIGIN_GRID_ID1223 1.9502490 0.1308714 14.902 < 2e-16 ***
ORIGIN_GRID_ID1224 2.8226096 0.1299990 21.713 < 2e-16 ***
ORIGIN_GRID_ID1231 -1.1273352 0.2382868 -4.731 2.23e-06 ***
ORIGIN_GRID_ID1232 1.3665761 0.1677196 8.148 3.70e-16 ***
ORIGIN_GRID_ID1235 2.8084184 0.1302634 21.560 < 2e-16 ***
ORIGIN_GRID_ID1236 2.5693942 0.1303759 19.708 < 2e-16 ***
ORIGIN_GRID_ID1241 2.5283114 0.1299796 19.452 < 2e-16 ***
ORIGIN_GRID_ID1242 3.2004247 0.1296720 24.681 < 2e-16 ***
ORIGIN_GRID_ID1243 3.8121117 0.1295703 29.421 < 2e-16 ***
ORIGIN_GRID_ID1246 3.0005728 0.1298762 23.103 < 2e-16 ***
ORIGIN_GRID_ID1256 4.2438397 0.1296949 32.722 < 2e-16 ***
ORIGIN_GRID_ID1257 5.1461622 0.1295877 39.712 < 2e-16 ***
ORIGIN_GRID_ID1258 3.0360731 0.1303612 23.290 < 2e-16 ***
ORIGIN_GRID_ID1262 2.9699637 0.1297783 22.885 < 2e-16 ***
ORIGIN_GRID_ID1263 3.4073304 0.1296014 26.291 < 2e-16 ***
ORIGIN_GRID_ID1264 2.3915412 0.1302408 18.362 < 2e-16 ***
ORIGIN_GRID_ID1265 2.0711362 0.1307202 15.844 < 2e-16 ***
ORIGIN_GRID_ID1266 3.7101394 0.1297145 28.602 < 2e-16 ***
ORIGIN_GRID_ID1267 1.6027063 0.1336474 11.992 < 2e-16 ***
ORIGIN_GRID_ID1272 -0.8310326 0.1962432 -4.235 2.29e-05 ***
ORIGIN_GRID_ID1273 3.5417834 0.1301445 27.214 < 2e-16 ***
ORIGIN_GRID_ID1277 5.1943425 0.1295379 40.099 < 2e-16 ***
ORIGIN_GRID_ID1278 2.5638278 0.1303311 19.672 < 2e-16 ***
ORIGIN_GRID_ID1283 4.6839572 0.1295278 36.162 < 2e-16 ***
ORIGIN_GRID_ID1284 3.9509376 0.1295638 30.494 < 2e-16 ***
ORIGIN_GRID_ID1285 4.5836858 0.1295114 35.392 < 2e-16 ***
ORIGIN_GRID_ID1286 2.7687043 0.1300197 21.295 < 2e-16 ***
ORIGIN_GRID_ID1289 1.1288935 0.1404000 8.041 8.94e-16 ***
ORIGIN_GRID_ID1293 0.2353335 0.1533901 1.534 0.124977
ORIGIN_GRID_ID1294 5.0376714 0.1296233 38.864 < 2e-16 ***
ORIGIN_GRID_ID1295 2.4729266 0.1314395 18.814 < 2e-16 ***
ORIGIN_GRID_ID1298 4.2530040 0.1296663 32.800 < 2e-16 ***
ORIGIN_GRID_ID1299 4.5902004 0.1296315 35.410 < 2e-16 ***
ORIGIN_GRID_ID1304 4.5856849 0.1295264 35.403 < 2e-16 ***
ORIGIN_GRID_ID1305 3.9455330 0.1295375 30.459 < 2e-16 ***
ORIGIN_GRID_ID1307 0.1619759 0.1400441 1.157 0.247433
ORIGIN_GRID_ID1308 3.7704783 0.1296399 29.084 < 2e-16 ***
ORIGIN_GRID_ID1310 -1.0702116 0.2689222 -3.980 6.90e-05 ***
ORIGIN_GRID_ID1316 1.5173112 0.1348056 11.256 < 2e-16 ***
ORIGIN_GRID_ID1317 3.2308626 0.1300400 24.845 < 2e-16 ***
ORIGIN_GRID_ID1318 2.4603808 0.1306437 18.833 < 2e-16 ***
ORIGIN_GRID_ID1319 5.4956384 0.1295298 42.428 < 2e-16 ***
ORIGIN_GRID_ID1320 4.0425238 0.1297962 31.145 < 2e-16 ***
ORIGIN_GRID_ID1325 2.1886916 0.1301735 16.814 < 2e-16 ***
ORIGIN_GRID_ID1326 4.1536199 0.1295329 32.066 < 2e-16 ***
ORIGIN_GRID_ID1327 3.8891636 0.1295574 30.019 < 2e-16 ***
ORIGIN_GRID_ID1328 2.5063137 0.1299361 19.289 < 2e-16 ***
ORIGIN_GRID_ID1329 2.8013237 0.1301209 21.529 < 2e-16 ***
ORIGIN_GRID_ID1330 3.6813711 0.1297718 28.368 < 2e-16 ***
ORIGIN_GRID_ID1331 -1.3107561 0.3576138 -3.665 0.000247 ***
ORIGIN_GRID_ID1333 3.0975575 0.1301471 23.800 < 2e-16 ***
ORIGIN_GRID_ID1334 3.3515174 0.1300529 25.770 < 2e-16 ***
ORIGIN_GRID_ID1335 2.9605826 0.1307171 22.649 < 2e-16 ***
ORIGIN_GRID_ID1336 0.1347099 0.1897237 0.710 0.477684
ORIGIN_GRID_ID1337 0.5045431 0.1420038 3.553 0.000381 ***
ORIGIN_GRID_ID1338 -0.9328320 0.1745382 -5.345 9.06e-08 ***
ORIGIN_GRID_ID1339 5.3084605 0.1295271 40.983 < 2e-16 ***
ORIGIN_GRID_ID1340 3.6949941 0.1298170 28.463 < 2e-16 ***
ORIGIN_GRID_ID1341 0.8719325 0.2584382 3.374 0.000741 ***
ORIGIN_GRID_ID1346 3.7738585 0.1296435 29.110 < 2e-16 ***
ORIGIN_GRID_ID1347 4.7726805 0.1295129 36.851 < 2e-16 ***
ORIGIN_GRID_ID1348 3.1212890 0.1296610 24.073 < 2e-16 ***
ORIGIN_GRID_ID1349 2.9454666 0.1298115 22.690 < 2e-16 ***
ORIGIN_GRID_ID1350 3.2838802 0.1299983 25.261 < 2e-16 ***
ORIGIN_GRID_ID1353 3.1027954 0.1299061 23.885 < 2e-16 ***
ORIGIN_GRID_ID1354 2.8635185 0.1301961 21.994 < 2e-16 ***
ORIGIN_GRID_ID1355 3.6802298 0.1297815 28.357 < 2e-16 ***
ORIGIN_GRID_ID1357 2.7251322 0.1310941 20.788 < 2e-16 ***
ORIGIN_GRID_ID1358 4.0680191 0.1297057 31.363 < 2e-16 ***
ORIGIN_GRID_ID1359 4.4009234 0.1295848 33.962 < 2e-16 ***
ORIGIN_GRID_ID1360 4.4682224 0.1295908 34.479 < 2e-16 ***
ORIGIN_GRID_ID1361 5.6129332 0.1295380 43.330 < 2e-16 ***
ORIGIN_GRID_ID1362 1.7447878 0.1359707 12.832 < 2e-16 ***
ORIGIN_GRID_ID1368 2.6386385 0.1298119 20.327 < 2e-16 ***
ORIGIN_GRID_ID1369 2.3441814 0.1298742 18.050 < 2e-16 ***
ORIGIN_GRID_ID1370 3.5797559 0.1295808 27.626 < 2e-16 ***
ORIGIN_GRID_ID1371 2.9637704 0.1299390 22.809 < 2e-16 ***
ORIGIN_GRID_ID1372 2.2818885 0.1302032 17.526 < 2e-16 ***
ORIGIN_GRID_ID1373 0.6721981 0.1397845 4.809 1.52e-06 ***
ORIGIN_GRID_ID1374 2.5921803 0.1301010 19.924 < 2e-16 ***
ORIGIN_GRID_ID1375 4.1348606 0.1297283 31.873 < 2e-16 ***
ORIGIN_GRID_ID1376 3.4215188 0.1302059 26.278 < 2e-16 ***
ORIGIN_GRID_ID1379 1.7301396 0.1344608 12.867 < 2e-16 ***
ORIGIN_GRID_ID1380 5.7885037 0.1295021 44.698 < 2e-16 ***
ORIGIN_GRID_ID1381 5.3808817 0.1295254 41.543 < 2e-16 ***
ORIGIN_GRID_ID1382 4.8304231 0.1296301 37.263 < 2e-16 ***
ORIGIN_GRID_ID1383 2.4472831 0.1320124 18.538 < 2e-16 ***
ORIGIN_GRID_ID1388 3.1755493 0.1296739 24.489 < 2e-16 ***
ORIGIN_GRID_ID1389 1.9162081 0.1300810 14.731 < 2e-16 ***
ORIGIN_GRID_ID1390 3.0639074 0.1296886 23.625 < 2e-16 ***
ORIGIN_GRID_ID1391 3.1532055 0.1297394 24.304 < 2e-16 ***
ORIGIN_GRID_ID1392 2.6573413 0.1308423 20.309 < 2e-16 ***
ORIGIN_GRID_ID1393 1.8312250 0.1304911 14.033 < 2e-16 ***
ORIGIN_GRID_ID1394 3.2860448 0.1297214 25.332 < 2e-16 ***
ORIGIN_GRID_ID1395 3.3657827 0.1297195 25.947 < 2e-16 ***
ORIGIN_GRID_ID1396 4.4800140 0.1295695 34.576 < 2e-16 ***
ORIGIN_GRID_ID1397 4.5522432 0.1295789 35.131 < 2e-16 ***
ORIGIN_GRID_ID1398 3.4846263 0.1300083 26.803 < 2e-16 ***
ORIGIN_GRID_ID1400 4.5912895 0.1296505 35.413 < 2e-16 ***
ORIGIN_GRID_ID1401 4.9536350 0.1295292 38.243 < 2e-16 ***
ORIGIN_GRID_ID1402 4.9646178 0.1295495 38.322 < 2e-16 ***
ORIGIN_GRID_ID1404 5.0852329 0.1304587 38.980 < 2e-16 ***
ORIGIN_GRID_ID1410 2.6886491 0.1297482 20.722 < 2e-16 ***
ORIGIN_GRID_ID1411 2.7305697 0.1297701 21.042 < 2e-16 ***
ORIGIN_GRID_ID1412 3.0000633 0.1296607 23.138 < 2e-16 ***
ORIGIN_GRID_ID1413 3.8938574 0.1295767 30.051 < 2e-16 ***
ORIGIN_GRID_ID1414 3.2709135 0.1296447 25.230 < 2e-16 ***
ORIGIN_GRID_ID1415 2.8149099 0.1298560 21.677 < 2e-16 ***
ORIGIN_GRID_ID1416 3.4907791 0.1296712 26.920 < 2e-16 ***
ORIGIN_GRID_ID1417 3.6303776 0.1296533 28.001 < 2e-16 ***
ORIGIN_GRID_ID1418 4.4498804 0.1295605 34.346 < 2e-16 ***
ORIGIN_GRID_ID1419 3.9245788 0.1296549 30.269 < 2e-16 ***
ORIGIN_GRID_ID1422 5.0268839 0.1295733 38.796 < 2e-16 ***
ORIGIN_GRID_ID1423 5.9376558 0.1295168 45.845 < 2e-16 ***
ORIGIN_GRID_ID1430 3.4869822 0.1296319 26.899 < 2e-16 ***
ORIGIN_GRID_ID1431 3.4558025 0.1295817 26.669 < 2e-16 ***
ORIGIN_GRID_ID1432 3.5826204 0.1295708 27.650 < 2e-16 ***
ORIGIN_GRID_ID1433 2.3260830 0.1307391 17.792 < 2e-16 ***
ORIGIN_GRID_ID1434 3.8657819 0.1295909 29.831 < 2e-16 ***
ORIGIN_GRID_ID1435 4.2696516 0.1295279 32.963 < 2e-16 ***
ORIGIN_GRID_ID1436 1.1364408 0.1320617 8.605 < 2e-16 ***
ORIGIN_GRID_ID1437 4.4487288 0.1295427 34.342 < 2e-16 ***
ORIGIN_GRID_ID1438 4.9347212 0.1295055 38.104 < 2e-16 ***
ORIGIN_GRID_ID1439 5.5373604 0.1294958 42.761 < 2e-16 ***
ORIGIN_GRID_ID1440 1.9797068 0.1312519 15.083 < 2e-16 ***
ORIGIN_GRID_ID1442 4.8508212 0.1296526 37.414 < 2e-16 ***
ORIGIN_GRID_ID1443 5.9140932 0.1295228 45.661 < 2e-16 ***
ORIGIN_GRID_ID1444 4.9594165 0.1297056 38.236 < 2e-16 ***
ORIGIN_GRID_ID1452 2.5677162 0.1297855 19.784 < 2e-16 ***
ORIGIN_GRID_ID1453 2.6997130 0.1297588 20.806 < 2e-16 ***
ORIGIN_GRID_ID1454 1.7879800 0.1311959 13.628 < 2e-16 ***
ORIGIN_GRID_ID1455 3.2249028 0.1297815 24.849 < 2e-16 ***
ORIGIN_GRID_ID1456 3.6335206 0.1296198 28.032 < 2e-16 ***
ORIGIN_GRID_ID1457 4.5049801 0.1295294 34.780 < 2e-16 ***
ORIGIN_GRID_ID1458 4.8437678 0.1295141 37.400 < 2e-16 ***
ORIGIN_GRID_ID1459 4.2834906 0.1295499 33.064 < 2e-16 ***
ORIGIN_GRID_ID1460 3.4611068 0.1296497 26.696 < 2e-16 ***
ORIGIN_GRID_ID1461 2.1402741 0.1307063 16.375 < 2e-16 ***
ORIGIN_GRID_ID1464 6.3077255 0.1295136 48.703 < 2e-16 ***
ORIGIN_GRID_ID1465 5.7870724 0.1295592 44.667 < 2e-16 ***
ORIGIN_GRID_ID1472 1.1349436 0.1315681 8.626 < 2e-16 ***
ORIGIN_GRID_ID1473 2.1013975 0.1299865 16.166 < 2e-16 ***
ORIGIN_GRID_ID1474 3.2753891 0.1296002 25.273 < 2e-16 ***
ORIGIN_GRID_ID1475 4.2457548 0.1295398 32.776 < 2e-16 ***
ORIGIN_GRID_ID1476 3.6026606 0.1296395 27.790 < 2e-16 ***
ORIGIN_GRID_ID1477 5.1544687 0.1294884 39.806 < 2e-16 ***
ORIGIN_GRID_ID1478 3.4707899 0.1296403 26.772 < 2e-16 ***
ORIGIN_GRID_ID1479 3.6993061 0.1296030 28.543 < 2e-16 ***
ORIGIN_GRID_ID1480 5.5255849 0.1294869 42.673 < 2e-16 ***
ORIGIN_GRID_ID1481 2.8593405 0.1298998 22.012 < 2e-16 ***
ORIGIN_GRID_ID1482 3.0504004 0.1302587 23.418 < 2e-16 ***
ORIGIN_GRID_ID1485 5.7568019 0.1295630 44.432 < 2e-16 ***
ORIGIN_GRID_ID1494 2.3374786 0.1302532 17.946 < 2e-16 ***
ORIGIN_GRID_ID1495 2.5803184 0.1297739 19.883 < 2e-16 ***
ORIGIN_GRID_ID1496 3.7282683 0.1295560 28.777 < 2e-16 ***
ORIGIN_GRID_ID1497 4.0804886 0.1295732 31.492 < 2e-16 ***
ORIGIN_GRID_ID1498 4.4406133 0.1295271 34.283 < 2e-16 ***
ORIGIN_GRID_ID1499 4.6788834 0.1295119 36.127 < 2e-16 ***
ORIGIN_GRID_ID1500 4.5772025 0.1295801 35.323 < 2e-16 ***
ORIGIN_GRID_ID1501 4.8195857 0.1295135 37.213 < 2e-16 ***
ORIGIN_GRID_ID1502 4.2643828 0.1295537 32.916 < 2e-16 ***
ORIGIN_GRID_ID1506 0.2970822 0.1762190 1.686 0.091821 .
ORIGIN_GRID_ID1515 1.5189243 0.1320530 11.502 < 2e-16 ***
ORIGIN_GRID_ID1516 2.9705417 0.1296972 22.904 < 2e-16 ***
ORIGIN_GRID_ID1517 3.4592978 0.1296628 26.679 < 2e-16 ***
ORIGIN_GRID_ID1518 3.3675364 0.1296951 25.965 < 2e-16 ***
ORIGIN_GRID_ID1519 4.7090775 0.1295591 36.347 < 2e-16 ***
ORIGIN_GRID_ID1520 3.4147334 0.1296595 26.336 < 2e-16 ***
ORIGIN_GRID_ID1521 2.7563326 0.1299338 21.213 < 2e-16 ***
ORIGIN_GRID_ID1522 5.0242896 0.1295061 38.796 < 2e-16 ***
ORIGIN_GRID_ID1523 3.5220708 0.1304804 26.993 < 2e-16 ***
ORIGIN_GRID_ID1524 3.6961981 0.1298554 28.464 < 2e-16 ***
ORIGIN_GRID_ID1527 3.7040772 0.1305442 28.374 < 2e-16 ***
ORIGIN_GRID_ID1535 -0.0171423 0.1641542 -0.104 0.916830
ORIGIN_GRID_ID1536 0.8663502 0.1342116 6.455 1.08e-10 ***
ORIGIN_GRID_ID1537 1.5548327 0.1310689 11.863 < 2e-16 ***
ORIGIN_GRID_ID1538 3.2032762 0.1296375 24.709 < 2e-16 ***
ORIGIN_GRID_ID1539 3.7373038 0.1295703 28.844 < 2e-16 ***
ORIGIN_GRID_ID1540 4.3407636 0.1295332 33.511 < 2e-16 ***
ORIGIN_GRID_ID1541 5.5259021 0.1295773 42.646 < 2e-16 ***
ORIGIN_GRID_ID1542 2.4743301 0.1304626 18.966 < 2e-16 ***
ORIGIN_GRID_ID1543 3.3002503 0.1314529 25.106 < 2e-16 ***
ORIGIN_GRID_ID1544 4.2735246 0.1296349 32.966 < 2e-16 ***
ORIGIN_GRID_ID1547 1.4182427 0.1441620 9.838 < 2e-16 ***
ORIGIN_GRID_ID1556 1.1242212 0.1488414 7.553 4.25e-14 ***
ORIGIN_GRID_ID1557 0.8823117 0.1348011 6.545 5.94e-11 ***
ORIGIN_GRID_ID1558 2.1185187 0.1311146 16.158 < 2e-16 ***
ORIGIN_GRID_ID1559 3.8656696 0.1295572 29.838 < 2e-16 ***
ORIGIN_GRID_ID1560 4.7090886 0.1295101 36.361 < 2e-16 ***
ORIGIN_GRID_ID1561 4.5843521 0.1295415 35.389 < 2e-16 ***
ORIGIN_GRID_ID1562 1.6418245 0.1312344 12.511 < 2e-16 ***
ORIGIN_GRID_ID1563 3.4575761 0.1296800 26.662 < 2e-16 ***
ORIGIN_GRID_ID1564 2.6177327 0.1302216 20.102 < 2e-16 ***
ORIGIN_GRID_ID1565 2.6814118 0.1302687 20.584 < 2e-16 ***
ORIGIN_GRID_ID1566 2.4310355 0.1311209 18.540 < 2e-16 ***
ORIGIN_GRID_ID1567 0.3787053 0.1608184 2.355 0.018530 *
ORIGIN_GRID_ID1568 1.3839745 0.1461692 9.468 < 2e-16 ***
ORIGIN_GRID_ID1578 -1.5728190 0.2899388 -5.425 5.81e-08 ***
ORIGIN_GRID_ID1580 2.3309895 0.1306549 17.841 < 2e-16 ***
ORIGIN_GRID_ID1581 1.1788586 0.1313066 8.978 < 2e-16 ***
ORIGIN_GRID_ID1582 4.3993498 0.1295175 33.967 < 2e-16 ***
ORIGIN_GRID_ID1583 2.6686447 0.1312439 20.333 < 2e-16 ***
ORIGIN_GRID_ID1584 2.9369434 0.1299191 22.606 < 2e-16 ***
ORIGIN_GRID_ID1585 3.5662654 0.1298352 27.468 < 2e-16 ***
ORIGIN_GRID_ID1586 2.5582113 0.1302014 19.648 < 2e-16 ***
ORIGIN_GRID_ID1589 0.3678526 0.1633161 2.252 0.024297 *
ORIGIN_GRID_ID1590 1.1042949 0.1473755 7.493 6.73e-14 ***
ORIGIN_GRID_ID1600 4.4547504 0.1299074 34.292 < 2e-16 ***
ORIGIN_GRID_ID1601 2.9997961 0.1297039 23.128 < 2e-16 ***
ORIGIN_GRID_ID1602 3.6845917 0.1296126 28.428 < 2e-16 ***
ORIGIN_GRID_ID1603 4.5949833 0.1295212 35.477 < 2e-16 ***
ORIGIN_GRID_ID1604 3.1076315 0.1297212 23.956 < 2e-16 ***
ORIGIN_GRID_ID1605 4.5184538 0.1295292 34.884 < 2e-16 ***
ORIGIN_GRID_ID1606 3.9910284 0.1298392 30.738 < 2e-16 ***
ORIGIN_GRID_ID1607 3.3215897 0.1298243 25.585 < 2e-16 ***
ORIGIN_GRID_ID1608 5.3320204 0.1295373 41.162 < 2e-16 ***
ORIGIN_GRID_ID1609 5.2199631 0.1295866 40.282 < 2e-16 ***
ORIGIN_GRID_ID1610 1.8077475 0.1457203 12.406 < 2e-16 ***
ORIGIN_GRID_ID1622 3.0573653 0.1314505 23.259 < 2e-16 ***
ORIGIN_GRID_ID1623 4.3838851 0.1295231 33.846 < 2e-16 ***
ORIGIN_GRID_ID1624 3.1616341 0.1297366 24.370 < 2e-16 ***
ORIGIN_GRID_ID1625 4.5523132 0.1295434 35.141 < 2e-16 ***
ORIGIN_GRID_ID1626 5.2264188 0.1294994 40.359 < 2e-16 ***
ORIGIN_GRID_ID1627 3.6158754 0.1296690 27.885 < 2e-16 ***
ORIGIN_GRID_ID1628 5.3592356 0.1295024 41.383 < 2e-16 ***
ORIGIN_GRID_ID1629 4.3638788 0.1296412 33.661 < 2e-16 ***
ORIGIN_GRID_ID1630 4.4762527 0.1297017 34.512 < 2e-16 ***
ORIGIN_GRID_ID1631 0.8368900 0.1472906 5.682 1.33e-08 ***
ORIGIN_GRID_ID1642 1.8718460 0.1330383 14.070 < 2e-16 ***
ORIGIN_GRID_ID1643 4.3398808 0.1295340 33.504 < 2e-16 ***
ORIGIN_GRID_ID1644 2.1211876 0.1306050 16.241 < 2e-16 ***
ORIGIN_GRID_ID1645 3.5844905 0.1296118 27.656 < 2e-16 ***
ORIGIN_GRID_ID1646 3.4214648 0.1297941 26.361 < 2e-16 ***
ORIGIN_GRID_ID1647 3.8054906 0.1295962 29.364 < 2e-16 ***
ORIGIN_GRID_ID1648 4.4539396 0.1295494 34.380 < 2e-16 ***
ORIGIN_GRID_ID1649 5.2336781 0.1295096 40.412 < 2e-16 ***
ORIGIN_GRID_ID1650 5.3640071 0.1295696 41.399 < 2e-16 ***
ORIGIN_GRID_ID1664 -0.7588693 0.1962825 -3.866 0.000111 ***
ORIGIN_GRID_ID1665 4.5151426 0.1295191 34.861 < 2e-16 ***
ORIGIN_GRID_ID1666 3.2031102 0.1296688 24.702 < 2e-16 ***
ORIGIN_GRID_ID1667 4.2002248 0.1299141 32.331 < 2e-16 ***
ORIGIN_GRID_ID1668 4.3551117 0.1295452 33.618 < 2e-16 ***
ORIGIN_GRID_ID1670 5.2550173 0.1295025 40.579 < 2e-16 ***
ORIGIN_GRID_ID1671 5.9739624 0.1295651 46.108 < 2e-16 ***
ORIGIN_GRID_ID1672 5.6274831 0.1295951 43.424 < 2e-16 ***
ORIGIN_GRID_ID1684 3.4811860 0.1301789 26.742 < 2e-16 ***
ORIGIN_GRID_ID1685 4.0817590 0.1295723 31.502 < 2e-16 ***
ORIGIN_GRID_ID1686 3.9410250 0.1295759 30.415 < 2e-16 ***
ORIGIN_GRID_ID1687 3.5241273 0.1296877 27.174 < 2e-16 ***
ORIGIN_GRID_ID1688 3.0621331 0.1297655 23.597 < 2e-16 ***
ORIGIN_GRID_ID1689 2.6629160 0.1301575 20.459 < 2e-16 ***
ORIGIN_GRID_ID1690 4.1813693 0.1296304 32.256 < 2e-16 ***
ORIGIN_GRID_ID1691 4.9733856 0.1295341 38.394 < 2e-16 ***
ORIGIN_GRID_ID1692 4.5694743 0.1297306 35.223 < 2e-16 ***
ORIGIN_GRID_ID1706 4.0150698 0.1296258 30.974 < 2e-16 ***
ORIGIN_GRID_ID1707 3.9710838 0.1295597 30.651 < 2e-16 ***
ORIGIN_GRID_ID1708 4.4753622 0.1295235 34.552 < 2e-16 ***
ORIGIN_GRID_ID1709 3.6253300 0.1296334 27.966 < 2e-16 ***
ORIGIN_GRID_ID1710 4.7993412 0.1295276 37.053 < 2e-16 ***
ORIGIN_GRID_ID1711 4.5447617 0.1295650 35.077 < 2e-16 ***
ORIGIN_GRID_ID1712 5.2317700 0.1295031 40.399 < 2e-16 ***
ORIGIN_GRID_ID1713 2.8597395 0.1301685 21.970 < 2e-16 ***
ORIGIN_GRID_ID1714 5.5324772 0.1295475 42.706 < 2e-16 ***
ORIGIN_GRID_ID1727 4.2747724 0.1295718 32.992 < 2e-16 ***
ORIGIN_GRID_ID1728 4.0874157 0.1295563 31.549 < 2e-16 ***
ORIGIN_GRID_ID1729 3.5536368 0.1295979 27.420 < 2e-16 ***
ORIGIN_GRID_ID1730 1.5981423 0.1315329 12.150 < 2e-16 ***
ORIGIN_GRID_ID1731 4.3960343 0.1295648 33.929 < 2e-16 ***
ORIGIN_GRID_ID1732 4.9167829 0.1295129 37.964 < 2e-16 ***
ORIGIN_GRID_ID1733 4.7171409 0.1295384 36.415 < 2e-16 ***
ORIGIN_GRID_ID1734 5.1395119 0.1295325 39.677 < 2e-16 ***
ORIGIN_GRID_ID1735 6.8919760 0.1296325 53.166 < 2e-16 ***
ORIGIN_GRID_ID1748 2.9435313 0.1298841 22.663 < 2e-16 ***
ORIGIN_GRID_ID1749 3.9128125 0.1295667 30.199 < 2e-16 ***
ORIGIN_GRID_ID1750 3.0646088 0.1296972 23.629 < 2e-16 ***
ORIGIN_GRID_ID1751 2.4513459 0.1299531 18.863 < 2e-16 ***
ORIGIN_GRID_ID1753 4.9802612 0.1295174 38.452 < 2e-16 ***
ORIGIN_GRID_ID1754 5.3431159 0.1295005 41.259 < 2e-16 ***
ORIGIN_GRID_ID1755 4.9029617 0.1295344 37.851 < 2e-16 ***
ORIGIN_GRID_ID1756 4.8502328 0.1295757 37.432 < 2e-16 ***
ORIGIN_GRID_ID1757 2.8651416 0.1338356 21.408 < 2e-16 ***
ORIGIN_GRID_ID1769 3.7916180 0.1296126 29.253 < 2e-16 ***
ORIGIN_GRID_ID1770 3.3886222 0.1298998 26.086 < 2e-16 ***
ORIGIN_GRID_ID1771 2.5194287 0.1299723 19.384 < 2e-16 ***
ORIGIN_GRID_ID1772 1.3000255 0.1322749 9.828 < 2e-16 ***
ORIGIN_GRID_ID1774 4.6941065 0.1295321 36.239 < 2e-16 ***
ORIGIN_GRID_ID1775 4.3646422 0.1295831 33.682 < 2e-16 ***
ORIGIN_GRID_ID1776 5.5518488 0.1295046 42.870 < 2e-16 ***
ORIGIN_GRID_ID1777 5.6260822 0.1295205 43.438 < 2e-16 ***
ORIGIN_GRID_ID1778 5.4350898 0.1300746 41.784 < 2e-16 ***
ORIGIN_GRID_ID1790 4.4547999 0.1295620 34.384 < 2e-16 ***
ORIGIN_GRID_ID1791 3.7973439 0.1296385 29.292 < 2e-16 ***
ORIGIN_GRID_ID1792 3.7902703 0.1296554 29.233 < 2e-16 ***
ORIGIN_GRID_ID1793 1.6270087 0.1304350 12.474 < 2e-16 ***
ORIGIN_GRID_ID1794 1.5958109 0.1326563 12.030 < 2e-16 ***
ORIGIN_GRID_ID1795 1.1802742 0.1339618 8.811 < 2e-16 ***
ORIGIN_GRID_ID1796 5.2106523 0.1295332 40.226 < 2e-16 ***
ORIGIN_GRID_ID1797 5.2110788 0.1295193 40.234 < 2e-16 ***
ORIGIN_GRID_ID1798 5.2693316 0.1295198 40.684 < 2e-16 ***
ORIGIN_GRID_ID1799 4.5198451 0.1296966 34.849 < 2e-16 ***
ORIGIN_GRID_ID1800 3.8629025 0.1324866 29.157 < 2e-16 ***
ORIGIN_GRID_ID1811 3.5444183 0.1296964 27.329 < 2e-16 ***
ORIGIN_GRID_ID1812 4.6966749 0.1295110 36.265 < 2e-16 ***
ORIGIN_GRID_ID1813 4.4946114 0.1295208 34.702 < 2e-16 ***
ORIGIN_GRID_ID1817 5.1124271 0.1295726 39.456 < 2e-16 ***
ORIGIN_GRID_ID1818 5.0618269 0.1295402 39.075 < 2e-16 ***
ORIGIN_GRID_ID1819 5.5667370 0.1295141 42.982 < 2e-16 ***
ORIGIN_GRID_ID1820 2.7908731 0.1346283 20.730 < 2e-16 ***
ORIGIN_GRID_ID1832 4.2311977 0.1295859 32.652 < 2e-16 ***
ORIGIN_GRID_ID1833 3.7774629 0.1296105 29.145 < 2e-16 ***
ORIGIN_GRID_ID1834 4.1247790 0.1295435 31.841 < 2e-16 ***
ORIGIN_GRID_ID1835 3.4121535 0.1296914 26.310 < 2e-16 ***
ORIGIN_GRID_ID1837 0.6594326 0.1440835 4.577 4.72e-06 ***
ORIGIN_GRID_ID1839 4.5228427 0.1296753 34.878 < 2e-16 ***
ORIGIN_GRID_ID1840 6.3276194 0.1294887 48.866 < 2e-16 ***
ORIGIN_GRID_ID1841 1.8349592 0.1374079 13.354 < 2e-16 ***
ORIGIN_GRID_ID1842 6.3012911 0.1299780 48.480 < 2e-16 ***
ORIGIN_GRID_ID1853 4.1914152 0.1295606 32.351 < 2e-16 ***
ORIGIN_GRID_ID1854 4.3863215 0.1295508 33.858 < 2e-16 ***
ORIGIN_GRID_ID1855 4.6954572 0.1295293 36.250 < 2e-16 ***
ORIGIN_GRID_ID1858 2.4804322 0.1322807 18.751 < 2e-16 ***
ORIGIN_GRID_ID1860 5.8539094 0.1297670 45.111 < 2e-16 ***
ORIGIN_GRID_ID1861 5.3117542 0.1295460 41.003 < 2e-16 ***
ORIGIN_GRID_ID1874 4.3431282 0.1296187 33.507 < 2e-16 ***
ORIGIN_GRID_ID1875 2.7010206 0.1301909 20.747 < 2e-16 ***
ORIGIN_GRID_ID1876 4.7631369 0.1299376 36.657 < 2e-16 ***
ORIGIN_GRID_ID1877 4.4145884 0.1295525 34.076 < 2e-16 ***
ORIGIN_GRID_ID1880 0.8526207 0.1385220 6.155 7.50e-10 ***
ORIGIN_GRID_ID1882 5.1571335 0.1295583 39.806 < 2e-16 ***
ORIGIN_GRID_ID1883 5.6785705 0.1297945 43.750 < 2e-16 ***
ORIGIN_GRID_ID1895 4.4789153 0.1295522 34.572 < 2e-16 ***
ORIGIN_GRID_ID1896 2.8574487 0.1298518 22.005 < 2e-16 ***
ORIGIN_GRID_ID1897 3.4892852 0.1298018 26.882 < 2e-16 ***
ORIGIN_GRID_ID1898 -0.8912000 0.1987312 -4.484 7.31e-06 ***
ORIGIN_GRID_ID1901 0.7269809 0.1483645 4.900 9.59e-07 ***
ORIGIN_GRID_ID1903 5.0779284 0.1297809 39.127 < 2e-16 ***
ORIGIN_GRID_ID1917 2.9993956 0.1298518 23.099 < 2e-16 ***
ORIGIN_GRID_ID1918 4.5163529 0.1296007 34.848 < 2e-16 ***
ORIGIN_GRID_ID1919 4.3830214 0.1295698 33.827 < 2e-16 ***
ORIGIN_GRID_ID1922 2.2254180 0.1325101 16.794 < 2e-16 ***
ORIGIN_GRID_ID1924 4.8880095 0.1298217 37.652 < 2e-16 ***
ORIGIN_GRID_ID1937 3.8285679 0.1296628 29.527 < 2e-16 ***
ORIGIN_GRID_ID1938 4.5232315 0.1295383 34.918 < 2e-16 ***
ORIGIN_GRID_ID1939 5.1098902 0.1295264 39.451 < 2e-16 ***
ORIGIN_GRID_ID1942 1.0435950 0.1374788 7.591 3.18e-14 ***
ORIGIN_GRID_ID1959 3.4287112 0.1297791 26.420 < 2e-16 ***
ORIGIN_GRID_ID1960 5.4043068 0.1294907 41.735 < 2e-16 ***
ORIGIN_GRID_ID1961 3.8390946 0.1296598 29.609 < 2e-16 ***
ORIGIN_GRID_ID1962 4.8839851 0.1295336 37.704 < 2e-16 ***
ORIGIN_GRID_ID1964 0.1981314 0.1555335 1.274 0.202705
ORIGIN_GRID_ID1979 3.7260387 0.1297299 28.722 < 2e-16 ***
ORIGIN_GRID_ID1980 2.0459585 0.1303142 15.700 < 2e-16 ***
ORIGIN_GRID_ID1981 4.5160778 0.1295352 34.864 < 2e-16 ***
ORIGIN_GRID_ID1982 3.5267360 0.1299850 27.132 < 2e-16 ***
ORIGIN_GRID_ID1983 4.7918877 0.1295369 36.992 < 2e-16 ***
ORIGIN_GRID_ID1984 3.4893806 0.1297114 26.901 < 2e-16 ***
ORIGIN_GRID_ID1985 4.2846688 0.1296196 33.056 < 2e-16 ***
ORIGIN_GRID_ID2001 4.0329986 0.1296050 31.118 < 2e-16 ***
ORIGIN_GRID_ID2002 4.6034555 0.1295175 35.543 < 2e-16 ***
ORIGIN_GRID_ID2003 4.2581191 0.1295642 32.865 < 2e-16 ***
ORIGIN_GRID_ID2004 4.8556981 0.1295330 37.486 < 2e-16 ***
ORIGIN_GRID_ID2005 4.7636946 0.1295281 36.777 < 2e-16 ***
ORIGIN_GRID_ID2006 3.2979584 0.1298281 25.402 < 2e-16 ***
ORIGIN_GRID_ID2007 2.7546844 0.1305436 21.102 < 2e-16 ***
ORIGIN_GRID_ID2022 4.3877787 0.1296083 33.854 < 2e-16 ***
ORIGIN_GRID_ID2023 4.8658289 0.1295142 37.570 < 2e-16 ***
ORIGIN_GRID_ID2024 4.1643775 0.1295542 32.144 < 2e-16 ***
ORIGIN_GRID_ID2025 4.2285190 0.1295468 32.641 < 2e-16 ***
ORIGIN_GRID_ID2026 2.9315762 0.1300204 22.547 < 2e-16 ***
ORIGIN_GRID_ID2027 5.1711253 0.1295230 39.924 < 2e-16 ***
ORIGIN_GRID_ID2043 3.7461616 0.1297077 28.882 < 2e-16 ***
ORIGIN_GRID_ID2044 4.4731771 0.1295324 34.533 < 2e-16 ***
ORIGIN_GRID_ID2045 -0.0104567 0.1514570 -0.069 0.944957
ORIGIN_GRID_ID2046 4.4104016 0.1295220 34.051 < 2e-16 ***
ORIGIN_GRID_ID2047 4.2442830 0.1295712 32.756 < 2e-16 ***
ORIGIN_GRID_ID2048 4.4895082 0.1295464 34.656 < 2e-16 ***
ORIGIN_GRID_ID2049 3.5708278 0.1302123 27.423 < 2e-16 ***
ORIGIN_GRID_ID2064 4.4426221 0.1295612 34.290 < 2e-16 ***
ORIGIN_GRID_ID2065 2.8871187 0.1297734 22.247 < 2e-16 ***
ORIGIN_GRID_ID2066 2.2513245 0.1319877 17.057 < 2e-16 ***
ORIGIN_GRID_ID2067 5.6664927 0.1294869 43.761 < 2e-16 ***
ORIGIN_GRID_ID2068 4.0468610 0.1296589 31.212 < 2e-16 ***
ORIGIN_GRID_ID2069 4.3706733 0.1295837 33.729 < 2e-16 ***
ORIGIN_GRID_ID2085 3.3136417 0.1298500 25.519 < 2e-16 ***
ORIGIN_GRID_ID2086 4.7408917 0.1295271 36.602 < 2e-16 ***
ORIGIN_GRID_ID2087 3.3534521 0.1296879 25.858 < 2e-16 ***
ORIGIN_GRID_ID2088 4.0789735 0.1295479 31.486 < 2e-16 ***
ORIGIN_GRID_ID2089 3.8577915 0.1296340 29.759 < 2e-16 ***
ORIGIN_GRID_ID2090 5.3627676 0.1295062 41.409 < 2e-16 ***
ORIGIN_GRID_ID2091 0.6387225 0.1491045 4.284 1.84e-05 ***
ORIGIN_GRID_ID2105 1.3828244 0.1729913 7.994 1.31e-15 ***
ORIGIN_GRID_ID2106 1.6511102 0.1310538 12.599 < 2e-16 ***
ORIGIN_GRID_ID2107 2.7580094 0.1298289 21.243 < 2e-16 ***
ORIGIN_GRID_ID2108 4.0367357 0.1295895 31.150 < 2e-16 ***
ORIGIN_GRID_ID2109 4.1477480 0.1295436 32.018 < 2e-16 ***
ORIGIN_GRID_ID2110 3.5937877 0.1296824 27.712 < 2e-16 ***
ORIGIN_GRID_ID2111 0.6823990 0.1387149 4.919 8.68e-07 ***
ORIGIN_GRID_ID2128 2.4460281 0.1303520 18.765 < 2e-16 ***
ORIGIN_GRID_ID2129 1.8939694 0.1304859 14.515 < 2e-16 ***
ORIGIN_GRID_ID2130 4.6050632 0.1295200 35.555 < 2e-16 ***
ORIGIN_GRID_ID2131 4.9389681 0.1295425 38.126 < 2e-16 ***
ORIGIN_GRID_ID2132 3.8663117 0.1296126 29.830 < 2e-16 ***
ORIGIN_GRID_ID2148 3.3672892 0.1300277 25.897 < 2e-16 ***
ORIGIN_GRID_ID2149 1.9247590 0.1305509 14.743 < 2e-16 ***
ORIGIN_GRID_ID2150 4.4806953 0.1295475 34.587 < 2e-16 ***
ORIGIN_GRID_ID2151 4.9590524 0.1295084 38.291 < 2e-16 ***
ORIGIN_GRID_ID2152 5.1301416 0.1295166 39.610 < 2e-16 ***
ORIGIN_GRID_ID2153 4.4852319 0.1295847 34.612 < 2e-16 ***
ORIGIN_GRID_ID2171 3.4669628 0.1296841 26.734 < 2e-16 ***
ORIGIN_GRID_ID2172 3.5960189 0.1297172 27.722 < 2e-16 ***
ORIGIN_GRID_ID2173 4.1331933 0.1295664 31.900 < 2e-16 ***
ORIGIN_GRID_ID2174 4.4111212 0.1295746 34.043 < 2e-16 ***
ORIGIN_GRID_ID2191 3.1123881 0.1299286 23.955 < 2e-16 ***
ORIGIN_GRID_ID2192 2.8569855 0.1299943 21.978 < 2e-16 ***
ORIGIN_GRID_ID2193 3.7862644 0.1296203 29.210 < 2e-16 ***
ORIGIN_GRID_ID2194 4.2317583 0.1295685 32.660 < 2e-16 ***
ORIGIN_GRID_ID2195 3.6021615 0.1313715 27.420 < 2e-16 ***
ORIGIN_GRID_ID2212 0.3606119 0.1659223 2.173 0.029752 *
ORIGIN_GRID_ID2213 0.7299266 0.1369975 5.328 9.93e-08 ***
ORIGIN_GRID_ID2214 1.2991426 0.1325124 9.804 < 2e-16 ***
ORIGIN_GRID_ID2215 3.8639217 0.1296627 29.800 < 2e-16 ***
ORIGIN_GRID_ID2216 2.8848107 0.1299647 22.197 < 2e-16 ***
ORIGIN_GRID_ID2233 0.9749715 0.1386261 7.033 2.02e-12 ***
ORIGIN_GRID_ID2234 2.7037537 0.1311590 20.614 < 2e-16 ***
ORIGIN_GRID_ID2235 2.6566383 0.1302369 20.399 < 2e-16 ***
ORIGIN_GRID_ID2236 2.6746701 0.1301318 20.554 < 2e-16 ***
ORIGIN_GRID_ID2237 0.3899994 0.1434832 2.718 0.006566 **
ORIGIN_GRID_ID2256 0.4075715 0.1369512 2.976 0.002920 **
ORIGIN_GRID_ID2257 2.4157297 0.1310802 18.429 < 2e-16 ***
ORIGIN_GRID_ID2258 1.9455386 0.1305447 14.903 < 2e-16 ***
ORIGIN_GRID_ID2259 1.4236995 0.1354743 10.509 < 2e-16 ***
ORIGIN_GRID_ID2277 2.6000998 0.1350242 19.257 < 2e-16 ***
ORIGIN_GRID_ID2278 2.9894046 0.1305044 22.907 < 2e-16 ***
ORIGIN_GRID_ID2279 1.5605342 0.1311216 11.901 < 2e-16 ***
ORIGIN_GRID_ID2280 -0.6702487 0.1861311 -3.601 0.000317 ***
ORIGIN_GRID_ID2297 4.4146447 0.1298322 34.003 < 2e-16 ***
ORIGIN_GRID_ID2300 0.2853511 0.1471357 1.939 0.052456 .
ORIGIN_GRID_ID2301 1.8902615 0.1310322 14.426 < 2e-16 ***
ORIGIN_GRID_ID2318 2.4886960 0.1309797 19.001 < 2e-16 ***
ORIGIN_GRID_ID2319 3.0851707 0.1299788 23.736 < 2e-16 ***
ORIGIN_GRID_ID2322 2.9921760 0.1301228 22.995 < 2e-16 ***
ORIGIN_GRID_ID2337 4.0412783 0.1307146 30.917 < 2e-16 ***
ORIGIN_GRID_ID2341 3.4571357 0.1299062 26.613 < 2e-16 ***
ORIGIN_GRID_ID2343 2.3044960 0.1303157 17.684 < 2e-16 ***
ORIGIN_GRID_ID2361 3.1784077 0.1301125 24.428 < 2e-16 ***
ORIGIN_GRID_ID2364 -0.9475660 0.1610756 -5.883 4.04e-09 ***
ORIGIN_GRID_ID2379 3.4138609 0.1311151 26.037 < 2e-16 ***
ORIGIN_GRID_ID2384 2.0448982 0.1306680 15.650 < 2e-16 ***
ORIGIN_GRID_ID2405 1.6733562 0.1308150 12.792 < 2e-16 ***
ORIGIN_GRID_ID2406 0.4291838 0.1355201 3.167 0.001541 **
ORIGIN_GRID_ID2426 1.1511000 0.1337426 8.607 < 2e-16 ***
ORIGIN_GRID_ID2427 2.9829060 0.1300200 22.942 < 2e-16 ***
ORIGIN_GRID_ID2505 3.2593878 0.1375626 23.694 < 2e-16 ***
DESTIN_GRID_ID44 1.4613445 0.0599516 24.375 < 2e-16 ***
DESTIN_GRID_ID46 0.5281001 0.0595122 8.874 < 2e-16 ***
DESTIN_GRID_ID66 -0.3349358 0.0737221 -4.543 5.54e-06 ***
DESTIN_GRID_ID67 0.4631171 0.0576901 8.028 9.93e-16 ***
DESTIN_GRID_ID68 0.1715713 0.0596445 2.877 0.004020 **
DESTIN_GRID_ID86 0.5428844 0.0661282 8.210 < 2e-16 ***
DESTIN_GRID_ID87 -2.8407018 0.1051608 -27.013 < 2e-16 ***
DESTIN_GRID_ID88 -0.0372253 0.0586938 -0.634 0.525932
DESTIN_GRID_ID89 -0.5724767 0.0601910 -9.511 < 2e-16 ***
DESTIN_GRID_ID90 -3.6909671 0.7095101 -5.202 1.97e-07 ***
DESTIN_GRID_ID109 -0.3555287 0.0610853 -5.820 5.88e-09 ***
DESTIN_GRID_ID110 -3.3096313 0.1302722 -25.406 < 2e-16 ***
DESTIN_GRID_ID111 1.1106456 0.0570277 19.476 < 2e-16 ***
DESTIN_GRID_ID112 -2.3654729 0.0649368 -36.427 < 2e-16 ***
DESTIN_GRID_ID128 1.1988050 0.0610728 19.629 < 2e-16 ***
DESTIN_GRID_ID129 -4.2937018 0.1496874 -28.684 < 2e-16 ***
DESTIN_GRID_ID130 -0.5693757 0.0605592 -9.402 < 2e-16 ***
DESTIN_GRID_ID131 -1.2903992 0.0602779 -21.408 < 2e-16 ***
DESTIN_GRID_ID132 -0.7739430 0.0576407 -13.427 < 2e-16 ***
DESTIN_GRID_ID133 -0.6712346 0.0570094 -11.774 < 2e-16 ***
DESTIN_GRID_ID134 -0.5379251 0.0568435 -9.463 < 2e-16 ***
DESTIN_GRID_ID150 -0.1496041 0.0654600 -2.285 0.022288 *
DESTIN_GRID_ID151 -0.4644211 0.0603674 -7.693 1.43e-14 ***
DESTIN_GRID_ID152 0.4829987 0.0578588 8.348 < 2e-16 ***
DESTIN_GRID_ID153 0.0307320 0.0575513 0.534 0.593346
DESTIN_GRID_ID154 -2.1242707 0.0625229 -33.976 < 2e-16 ***
DESTIN_GRID_ID155 -1.7342324 0.0590420 -29.373 < 2e-16 ***
DESTIN_GRID_ID156 -1.6070550 0.0601237 -26.729 < 2e-16 ***
DESTIN_GRID_ID172 -1.5307473 0.0719048 -21.289 < 2e-16 ***
DESTIN_GRID_ID174 -1.0403871 0.0579113 -17.965 < 2e-16 ***
DESTIN_GRID_ID175 -0.6277443 0.0566494 -11.081 < 2e-16 ***
DESTIN_GRID_ID176 -1.9784681 0.0631736 -31.318 < 2e-16 ***
DESTIN_GRID_ID195 -2.3387640 0.0638235 -36.644 < 2e-16 ***
DESTIN_GRID_ID196 -0.8952138 0.0566382 -15.806 < 2e-16 ***
DESTIN_GRID_ID197 -4.1036842 0.0951996 -43.106 < 2e-16 ***
DESTIN_GRID_ID215 -0.3826270 0.0633989 -6.035 1.59e-09 ***
DESTIN_GRID_ID216 -0.5181441 0.0579497 -8.941 < 2e-16 ***
DESTIN_GRID_ID217 -0.1887059 0.0565090 -3.339 0.000840 ***
DESTIN_GRID_ID237 -2.4922907 0.0637308 -39.107 < 2e-16 ***
DESTIN_GRID_ID238 -1.4988722 0.0578236 -25.921 < 2e-16 ***
DESTIN_GRID_ID239 -1.7792958 0.0639682 -27.815 < 2e-16 ***
DESTIN_GRID_ID257 0.4651127 0.0582242 7.988 1.37e-15 ***
DESTIN_GRID_ID258 -1.4108551 0.0590899 -23.876 < 2e-16 ***
DESTIN_GRID_ID259 -0.3035461 0.0570389 -5.322 1.03e-07 ***
DESTIN_GRID_ID278 0.8375133 0.0576999 14.515 < 2e-16 ***
DESTIN_GRID_ID279 -0.8889400 0.0574075 -15.485 < 2e-16 ***
DESTIN_GRID_ID280 -0.6287251 0.0572370 -10.985 < 2e-16 ***
DESTIN_GRID_ID298 -3.8431716 0.1609017 -23.885 < 2e-16 ***
DESTIN_GRID_ID299 -0.6012429 0.0581480 -10.340 < 2e-16 ***
DESTIN_GRID_ID300 -1.1741222 0.0584305 -20.094 < 2e-16 ***
DESTIN_GRID_ID320 0.7228598 0.0576184 12.546 < 2e-16 ***
DESTIN_GRID_ID321 -1.5426631 0.0608594 -25.348 < 2e-16 ***
DESTIN_GRID_ID322 -0.2908618 0.0571103 -5.093 3.52e-07 ***
DESTIN_GRID_ID340 1.4361887 0.0569568 25.215 < 2e-16 ***
DESTIN_GRID_ID341 -0.0599000 0.0571586 -1.048 0.294657
DESTIN_GRID_ID342 -0.4159798 0.0568463 -7.318 2.52e-13 ***
DESTIN_GRID_ID363 -0.4321037 0.0574609 -7.520 5.48e-14 ***
DESTIN_GRID_ID364 -0.4306508 0.0564067 -7.635 2.26e-14 ***
DESTIN_GRID_ID383 0.5850398 0.0566167 10.333 < 2e-16 ***
DESTIN_GRID_ID384 -0.6189119 0.0564969 -10.955 < 2e-16 ***
DESTIN_GRID_ID385 -1.6021038 0.0579210 -27.660 < 2e-16 ***
DESTIN_GRID_ID404 0.7163941 0.0572973 12.503 < 2e-16 ***
DESTIN_GRID_ID405 -0.0188196 0.0568775 -0.331 0.740735
DESTIN_GRID_ID406 0.3176348 0.0561292 5.659 1.52e-08 ***
DESTIN_GRID_ID407 -0.1984916 0.0567603 -3.497 0.000470 ***
DESTIN_GRID_ID408 0.9772047 0.0561938 17.390 < 2e-16 ***
DESTIN_GRID_ID425 -1.6565554 0.0611860 -27.074 < 2e-16 ***
DESTIN_GRID_ID426 -1.0768118 0.0568126 -18.954 < 2e-16 ***
DESTIN_GRID_ID427 -3.7414621 0.0618384 -60.504 < 2e-16 ***
DESTIN_GRID_ID428 -1.1636055 0.0571918 -20.346 < 2e-16 ***
DESTIN_GRID_ID429 -1.3521633 0.0608746 -22.212 < 2e-16 ***
DESTIN_GRID_ID446 -0.4409843 0.0605240 -7.286 3.19e-13 ***
DESTIN_GRID_ID447 -1.2739874 0.0584567 -21.794 < 2e-16 ***
DESTIN_GRID_ID448 -1.5881326 0.0570792 -27.823 < 2e-16 ***
DESTIN_GRID_ID449 -0.9490694 0.0563943 -16.829 < 2e-16 ***
DESTIN_GRID_ID450 -1.5529181 0.0573863 -27.061 < 2e-16 ***
DESTIN_GRID_ID468 -0.9213683 0.0569325 -16.184 < 2e-16 ***
DESTIN_GRID_ID469 -1.4670322 0.0565721 -25.932 < 2e-16 ***
DESTIN_GRID_ID470 -1.2754863 0.0564330 -22.602 < 2e-16 ***
DESTIN_GRID_ID471 -1.1039579 0.0585910 -18.842 < 2e-16 ***
DESTIN_GRID_ID488 -0.5162421 0.0602401 -8.570 < 2e-16 ***
DESTIN_GRID_ID489 -2.6008778 0.0737453 -35.268 < 2e-16 ***
DESTIN_GRID_ID490 -0.6873346 0.0565749 -12.149 < 2e-16 ***
DESTIN_GRID_ID491 -3.1738785 0.0584074 -54.340 < 2e-16 ***
DESTIN_GRID_ID493 -3.5089817 0.0743170 -47.216 < 2e-16 ***
DESTIN_GRID_ID494 -1.7140959 0.0605727 -28.298 < 2e-16 ***
DESTIN_GRID_ID509 -0.1578291 0.0580360 -2.720 0.006538 **
DESTIN_GRID_ID510 -0.4323293 0.0568436 -7.606 2.84e-14 ***
DESTIN_GRID_ID511 -1.2131823 0.0563560 -21.527 < 2e-16 ***
DESTIN_GRID_ID512 -1.5303333 0.0563855 -27.141 < 2e-16 ***
DESTIN_GRID_ID513 -0.3708491 0.0565794 -6.554 5.58e-11 ***
DESTIN_GRID_ID514 -0.6736440 0.0572329 -11.770 < 2e-16 ***
DESTIN_GRID_ID515 -2.1720656 0.0645568 -33.646 < 2e-16 ***
DESTIN_GRID_ID530 -0.7769814 0.0630739 -12.319 < 2e-16 ***
DESTIN_GRID_ID531 1.4326456 0.0562894 25.451 < 2e-16 ***
DESTIN_GRID_ID532 -0.9714404 0.0566318 -17.154 < 2e-16 ***
DESTIN_GRID_ID533 0.1854129 0.0560240 3.310 0.000935 ***
DESTIN_GRID_ID534 -1.3041925 0.0563867 -23.129 < 2e-16 ***
DESTIN_GRID_ID536 -1.5870691 0.0589090 -26.941 < 2e-16 ***
DESTIN_GRID_ID537 -2.3734877 0.0658888 -36.023 < 2e-16 ***
DESTIN_GRID_ID538 -2.7080702 0.0714079 -37.924 < 2e-16 ***
DESTIN_GRID_ID539 -5.0332665 0.2730831 -18.431 < 2e-16 ***
DESTIN_GRID_ID551 -0.1696208 0.0587451 -2.887 0.003884 **
DESTIN_GRID_ID552 0.2311646 0.0569904 4.056 4.99e-05 ***
DESTIN_GRID_ID553 -1.7385572 0.0566209 -30.705 < 2e-16 ***
DESTIN_GRID_ID554 -1.8118068 0.0564047 -32.122 < 2e-16 ***
DESTIN_GRID_ID555 -0.5584102 0.0564856 -9.886 < 2e-16 ***
DESTIN_GRID_ID559 -2.8246486 0.0775968 -36.402 < 2e-16 ***
DESTIN_GRID_ID560 -0.4870838 0.0585010 -8.326 < 2e-16 ***
DESTIN_GRID_ID561 -2.8694961 0.0877728 -32.692 < 2e-16 ***
DESTIN_GRID_ID572 -1.0856268 0.0657346 -16.515 < 2e-16 ***
DESTIN_GRID_ID573 0.5961690 0.0569387 10.470 < 2e-16 ***
DESTIN_GRID_ID574 -1.2290623 0.0581384 -21.140 < 2e-16 ***
DESTIN_GRID_ID575 1.2201865 0.0559806 21.797 < 2e-16 ***
DESTIN_GRID_ID576 -1.4166921 0.0563268 -25.151 < 2e-16 ***
DESTIN_GRID_ID578 -4.7797533 0.1209525 -39.518 < 2e-16 ***
DESTIN_GRID_ID582 -3.0771947 0.0844714 -36.429 < 2e-16 ***
DESTIN_GRID_ID583 -4.9595957 0.3820980 -12.980 < 2e-16 ***
DESTIN_GRID_ID584 -1.5035972 0.0666749 -22.551 < 2e-16 ***
DESTIN_GRID_ID593 -1.7178591 0.0615433 -27.913 < 2e-16 ***
DESTIN_GRID_ID594 -0.4077089 0.0577048 -7.065 1.60e-12 ***
DESTIN_GRID_ID595 -0.6220572 0.0562642 -11.056 < 2e-16 ***
DESTIN_GRID_ID596 -1.2088233 0.0561865 -21.514 < 2e-16 ***
DESTIN_GRID_ID597 -1.6811754 0.0580998 -28.936 < 2e-16 ***
DESTIN_GRID_ID603 -2.6294584 0.0769895 -34.153 < 2e-16 ***
DESTIN_GRID_ID604 -2.1679395 0.0755910 -28.680 < 2e-16 ***
DESTIN_GRID_ID615 -1.3225575 0.0578834 -22.849 < 2e-16 ***
DESTIN_GRID_ID616 -0.8434857 0.0566999 -14.876 < 2e-16 ***
DESTIN_GRID_ID617 -1.9351043 0.0567122 -34.122 < 2e-16 ***
DESTIN_GRID_ID618 -1.4309242 0.0563677 -25.386 < 2e-16 ***
DESTIN_GRID_ID620 -1.2811155 0.0571308 -22.424 < 2e-16 ***
DESTIN_GRID_ID637 -1.3483049 0.0570343 -23.640 < 2e-16 ***
DESTIN_GRID_ID638 -1.4103309 0.0563059 -25.048 < 2e-16 ***
DESTIN_GRID_ID657 0.0128136 0.0564141 0.227 0.820319
DESTIN_GRID_ID658 -0.7036229 0.0563109 -12.495 < 2e-16 ***
DESTIN_GRID_ID659 -1.0120514 0.0562730 -17.985 < 2e-16 ***
DESTIN_GRID_ID660 -0.6107387 0.0561336 -10.880 < 2e-16 ***
DESTIN_GRID_ID662 -1.1760574 0.0573441 -20.509 < 2e-16 ***
DESTIN_GRID_ID677 0.0764958 0.0567709 1.347 0.177837
DESTIN_GRID_ID678 -1.8403297 0.0577259 -31.880 < 2e-16 ***
DESTIN_GRID_ID679 -0.4130381 0.0561987 -7.350 1.99e-13 ***
DESTIN_GRID_ID680 1.0310495 0.0560185 18.406 < 2e-16 ***
DESTIN_GRID_ID681 -2.8561271 0.0596467 -47.884 < 2e-16 ***
DESTIN_GRID_ID699 -0.5067704 0.0567107 -8.936 < 2e-16 ***
DESTIN_GRID_ID700 -1.0499604 0.0564475 -18.601 < 2e-16 ***
DESTIN_GRID_ID701 -3.5305868 0.0605689 -58.290 < 2e-16 ***
DESTIN_GRID_ID702 -0.8240083 0.0561882 -14.665 < 2e-16 ***
DESTIN_GRID_ID704 -1.6987352 0.0571026 -29.749 < 2e-16 ***
DESTIN_GRID_ID722 -1.5820460 0.0566960 -27.904 < 2e-16 ***
DESTIN_GRID_ID725 -3.8675071 0.0624690 -61.911 < 2e-16 ***
DESTIN_GRID_ID741 0.0416807 0.0564646 0.738 0.460409
DESTIN_GRID_ID743 -3.7016391 0.0612022 -60.482 < 2e-16 ***
DESTIN_GRID_ID744 -0.7597437 0.0561961 -13.520 < 2e-16 ***
DESTIN_GRID_ID761 0.3369798 0.0566385 5.950 2.69e-09 ***
DESTIN_GRID_ID762 -1.7383678 0.0577581 -30.097 < 2e-16 ***
DESTIN_GRID_ID763 -3.3275067 0.0602162 -55.259 < 2e-16 ***
DESTIN_GRID_ID764 -0.2369771 0.0560913 -4.225 2.39e-05 ***
DESTIN_GRID_ID765 -1.0677742 0.0568317 -18.788 < 2e-16 ***
DESTIN_GRID_ID767 -1.3779744 0.0564502 -24.410 < 2e-16 ***
DESTIN_GRID_ID772 -2.3326346 0.0697549 -33.440 < 2e-16 ***
DESTIN_GRID_ID784 -3.1469140 0.0605073 -52.009 < 2e-16 ***
DESTIN_GRID_ID785 -1.1911851 0.0562715 -21.169 < 2e-16 ***
DESTIN_GRID_ID786 -1.0762369 0.0562032 -19.149 < 2e-16 ***
DESTIN_GRID_ID787 -1.8952837 0.0570945 -33.196 < 2e-16 ***
DESTIN_GRID_ID788 -3.4158020 0.0585588 -58.331 < 2e-16 ***
DESTIN_GRID_ID789 -3.5903616 0.0590508 -60.801 < 2e-16 ***
DESTIN_GRID_ID803 -0.8712943 0.0577469 -15.088 < 2e-16 ***
DESTIN_GRID_ID804 -0.3470019 0.0563521 -6.158 7.38e-10 ***
DESTIN_GRID_ID805 0.5932965 0.0560452 10.586 < 2e-16 ***
DESTIN_GRID_ID806 -1.2998223 0.0562870 -23.093 < 2e-16 ***
DESTIN_GRID_ID807 -1.2785669 0.0564819 -22.637 < 2e-16 ***
DESTIN_GRID_ID808 -2.6676282 0.0588346 -45.341 < 2e-16 ***
DESTIN_GRID_ID809 -1.4990496 0.0562602 -26.645 < 2e-16 ***
DESTIN_GRID_ID810 -1.8271820 0.0566421 -32.258 < 2e-16 ***
DESTIN_GRID_ID814 -1.2571006 0.0598560 -21.002 < 2e-16 ***
DESTIN_GRID_ID819 -0.1918033 0.0585618 -3.275 0.001056 **
DESTIN_GRID_ID824 -0.6529683 0.0577075 -11.315 < 2e-16 ***
DESTIN_GRID_ID826 -0.9534098 0.0563160 -16.930 < 2e-16 ***
DESTIN_GRID_ID827 -1.3245195 0.0563773 -23.494 < 2e-16 ***
DESTIN_GRID_ID828 -1.1575628 0.0562225 -20.589 < 2e-16 ***
DESTIN_GRID_ID829 -1.6104599 0.0566038 -28.451 < 2e-16 ***
DESTIN_GRID_ID830 -3.1384040 0.0579224 -54.183 < 2e-16 ***
DESTIN_GRID_ID831 0.4145913 0.0560471 7.397 1.39e-13 ***
DESTIN_GRID_ID832 0.0310257 0.0561487 0.553 0.580563
DESTIN_GRID_ID835 -1.6887493 0.0599418 -28.173 < 2e-16 ***
DESTIN_GRID_ID844 -0.9319013 0.0590079 -15.793 < 2e-16 ***
DESTIN_GRID_ID846 -0.9963173 0.0564540 -17.648 < 2e-16 ***
DESTIN_GRID_ID847 -0.2682344 0.0561690 -4.775 1.79e-06 ***
DESTIN_GRID_ID848 -1.5100888 0.0563789 -26.785 < 2e-16 ***
DESTIN_GRID_ID849 -2.1596252 0.0566163 -38.145 < 2e-16 ***
DESTIN_GRID_ID850 -1.3206611 0.0562640 -23.473 < 2e-16 ***
DESTIN_GRID_ID851 -1.9348952 0.0563981 -34.308 < 2e-16 ***
DESTIN_GRID_ID852 -1.9898968 0.0566386 -35.133 < 2e-16 ***
DESTIN_GRID_ID853 -0.9961050 0.0567893 -17.540 < 2e-16 ***
DESTIN_GRID_ID854 -0.9061584 0.0578485 -15.664 < 2e-16 ***
DESTIN_GRID_ID855 -1.8520831 0.0596041 -31.073 < 2e-16 ***
DESTIN_GRID_ID856 -2.4698549 0.0647056 -38.171 < 2e-16 ***
DESTIN_GRID_ID866 -0.1555507 0.0568702 -2.735 0.006234 **
DESTIN_GRID_ID867 0.3602993 0.0561664 6.415 1.41e-10 ***
DESTIN_GRID_ID868 -0.1540428 0.0562535 -2.738 0.006174 **
DESTIN_GRID_ID869 0.7517731 0.0562241 13.371 < 2e-16 ***
DESTIN_GRID_ID870 0.2474620 0.0560483 4.415 1.01e-05 ***
DESTIN_GRID_ID871 0.1537168 0.0561295 2.739 0.006170 **
DESTIN_GRID_ID872 -1.4665389 0.0563199 -26.039 < 2e-16 ***
DESTIN_GRID_ID873 -1.9281371 0.0566803 -34.018 < 2e-16 ***
DESTIN_GRID_ID874 -3.1231058 0.0577038 -54.123 < 2e-16 ***
DESTIN_GRID_ID875 -2.4072672 0.0624294 -38.560 < 2e-16 ***
DESTIN_GRID_ID876 -2.0395547 0.0591755 -34.466 < 2e-16 ***
DESTIN_GRID_ID877 -1.4746559 0.0579124 -25.464 < 2e-16 ***
DESTIN_GRID_ID887 -0.9788959 0.0567172 -17.259 < 2e-16 ***
DESTIN_GRID_ID888 -2.2368867 0.0578984 -38.635 < 2e-16 ***
DESTIN_GRID_ID889 -1.5101365 0.0574799 -26.272 < 2e-16 ***
DESTIN_GRID_ID890 -0.6462163 0.0562094 -11.497 < 2e-16 ***
DESTIN_GRID_ID891 -2.2073141 0.0580577 -38.019 < 2e-16 ***
DESTIN_GRID_ID893 -0.9244803 0.0561603 -16.461 < 2e-16 ***
DESTIN_GRID_ID894 -2.4925492 0.0571450 -43.618 < 2e-16 ***
DESTIN_GRID_ID895 -1.2487944 0.0567282 -22.014 < 2e-16 ***
DESTIN_GRID_ID896 -3.6117316 0.0653811 -55.241 < 2e-16 ***
DESTIN_GRID_ID897 -3.7343065 0.0644059 -57.981 < 2e-16 ***
DESTIN_GRID_ID898 -1.4138578 0.0584902 -24.173 < 2e-16 ***
DESTIN_GRID_ID908 -0.0837106 0.0570438 -1.467 0.142246
DESTIN_GRID_ID909 -0.9880728 0.0563519 -17.534 < 2e-16 ***
DESTIN_GRID_ID910 -1.9278477 0.0572012 -33.703 < 2e-16 ***
DESTIN_GRID_ID911 0.1462529 0.0561302 2.606 0.009171 **
DESTIN_GRID_ID912 -1.6697012 0.0565523 -29.525 < 2e-16 ***
DESTIN_GRID_ID915 -1.5149865 0.0563150 -26.902 < 2e-16 ***
DESTIN_GRID_ID917 0.0353549 0.0562636 0.628 0.529755
DESTIN_GRID_ID918 -4.1906163 0.0688995 -60.822 < 2e-16 ***
DESTIN_GRID_ID919 -2.4841110 0.0583838 -42.548 < 2e-16 ***
DESTIN_GRID_ID928 -2.1119770 0.0591392 -35.712 < 2e-16 ***
DESTIN_GRID_ID929 -1.2269824 0.0564990 -21.717 < 2e-16 ***
DESTIN_GRID_ID930 0.0383476 0.0561004 0.684 0.494257
DESTIN_GRID_ID931 -1.4677530 0.0569959 -25.752 < 2e-16 ***
DESTIN_GRID_ID932 -3.1779673 0.0614024 -51.756 < 2e-16 ***
DESTIN_GRID_ID933 -1.1885193 0.0565805 -21.006 < 2e-16 ***
DESTIN_GRID_ID934 -1.3913994 0.0565156 -24.620 < 2e-16 ***
DESTIN_GRID_ID935 0.4443392 0.0560375 7.929 2.20e-15 ***
DESTIN_GRID_ID938 -5.3094721 0.1535341 -34.582 < 2e-16 ***
DESTIN_GRID_ID939 -0.4375241 0.0563749 -7.761 8.43e-15 ***
DESTIN_GRID_ID940 -3.0931600 0.0597890 -51.735 < 2e-16 ***
DESTIN_GRID_ID949 -1.7364126 0.0581113 -29.881 < 2e-16 ***
DESTIN_GRID_ID950 0.2363461 0.0562177 4.204 2.62e-05 ***
DESTIN_GRID_ID951 0.9598964 0.0560401 17.129 < 2e-16 ***
DESTIN_GRID_ID952 -0.5218477 0.0565293 -9.231 < 2e-16 ***
DESTIN_GRID_ID953 -1.0549736 0.0567083 -18.603 < 2e-16 ***
DESTIN_GRID_ID954 -2.9769674 0.0587820 -50.644 < 2e-16 ***
DESTIN_GRID_ID955 -0.2116506 0.0561642 -3.768 0.000164 ***
DESTIN_GRID_ID956 -2.1728800 0.0568062 -38.251 < 2e-16 ***
DESTIN_GRID_ID957 -2.1511697 0.0568220 -37.858 < 2e-16 ***
DESTIN_GRID_ID959 -1.5378313 0.0594190 -25.881 < 2e-16 ***
DESTIN_GRID_ID961 -1.9464937 0.0574001 -33.911 < 2e-16 ***
DESTIN_GRID_ID962 0.1482172 0.0563417 2.631 0.008521 **
DESTIN_GRID_ID970 -0.8241167 0.0565588 -14.571 < 2e-16 ***
DESTIN_GRID_ID971 -0.3604223 0.0561710 -6.417 1.39e-10 ***
DESTIN_GRID_ID972 -1.2318410 0.0565068 -21.800 < 2e-16 ***
DESTIN_GRID_ID974 -1.6289433 0.0571234 -28.516 < 2e-16 ***
DESTIN_GRID_ID975 -2.8687534 0.0587360 -48.841 < 2e-16 ***
DESTIN_GRID_ID976 -2.1307348 0.0570392 -37.356 < 2e-16 ***
DESTIN_GRID_ID977 -1.8067564 0.0564145 -32.026 < 2e-16 ***
DESTIN_GRID_ID978 -2.1979616 0.0572052 -38.422 < 2e-16 ***
DESTIN_GRID_ID982 -2.4521675 0.0572001 -42.870 < 2e-16 ***
DESTIN_GRID_ID983 0.3854988 0.0563902 6.836 8.13e-12 ***
DESTIN_GRID_ID984 1.6006054 0.0564586 28.350 < 2e-16 ***
DESTIN_GRID_ID991 -0.3422326 0.0564586 -6.062 1.35e-09 ***
DESTIN_GRID_ID992 -0.5096265 0.0563650 -9.042 < 2e-16 ***
DESTIN_GRID_ID993 -1.8091058 0.0568635 -31.815 < 2e-16 ***
DESTIN_GRID_ID994 -1.8875597 0.0573412 -32.918 < 2e-16 ***
DESTIN_GRID_ID995 -1.2578123 0.0566557 -22.201 < 2e-16 ***
DESTIN_GRID_ID996 -1.8654534 0.0572854 -32.564 < 2e-16 ***
DESTIN_GRID_ID997 -1.5709052 0.0575558 -27.294 < 2e-16 ***
DESTIN_GRID_ID998 -1.2579294 0.0563650 -22.318 < 2e-16 ***
DESTIN_GRID_ID999 -2.4230536 0.0570883 -42.444 < 2e-16 ***
DESTIN_GRID_ID1001 -1.3348870 0.0582946 -22.899 < 2e-16 ***
DESTIN_GRID_ID1003 0.2581340 0.0561061 4.601 4.21e-06 ***
DESTIN_GRID_ID1004 -0.9759816 0.0563017 -17.335 < 2e-16 ***
DESTIN_GRID_ID1011 -0.7830677 0.0573271 -13.660 < 2e-16 ***
DESTIN_GRID_ID1012 0.1608878 0.0565312 2.846 0.004427 **
DESTIN_GRID_ID1013 -0.5147373 0.0564276 -9.122 < 2e-16 ***
DESTIN_GRID_ID1014 -2.5324544 0.0588525 -43.031 < 2e-16 ***
DESTIN_GRID_ID1015 -0.0763447 0.0562196 -1.358 0.174472
DESTIN_GRID_ID1016 0.2622252 0.0561213 4.672 2.98e-06 ***
DESTIN_GRID_ID1018 -2.1182532 0.0574324 -36.883 < 2e-16 ***
DESTIN_GRID_ID1019 -1.3317497 0.0563813 -23.620 < 2e-16 ***
DESTIN_GRID_ID1023 -2.1566969 0.0577398 -37.352 < 2e-16 ***
DESTIN_GRID_ID1024 -0.9819975 0.0563705 -17.420 < 2e-16 ***
DESTIN_GRID_ID1025 -5.7842007 0.1193903 -48.448 < 2e-16 ***
DESTIN_GRID_ID1033 0.0100424 0.0563468 0.178 0.858547
DESTIN_GRID_ID1034 0.2398906 0.0561859 4.270 1.96e-05 ***
DESTIN_GRID_ID1035 0.1030493 0.0562063 1.833 0.066742 .
DESTIN_GRID_ID1036 0.2509939 0.0561632 4.469 7.86e-06 ***
DESTIN_GRID_ID1037 -0.9191412 0.0563954 -16.298 < 2e-16 ***
DESTIN_GRID_ID1043 -0.5474252 0.0571175 -9.584 < 2e-16 ***
DESTIN_GRID_ID1045 -1.1615175 0.0563421 -20.615 < 2e-16 ***
DESTIN_GRID_ID1046 -0.7510781 0.0563456 -13.330 < 2e-16 ***
DESTIN_GRID_ID1053 0.5991766 0.0562063 10.660 < 2e-16 ***
DESTIN_GRID_ID1054 0.1710829 0.0562390 3.042 0.002350 **
DESTIN_GRID_ID1055 -1.1398465 0.0567515 -20.085 < 2e-16 ***
DESTIN_GRID_ID1056 -1.5001990 0.0572108 -26.222 < 2e-16 ***
DESTIN_GRID_ID1064 -3.7246361 0.1038048 -35.881 < 2e-16 ***
DESTIN_GRID_ID1066 -0.3533560 0.0561663 -6.291 3.15e-10 ***
DESTIN_GRID_ID1067 -5.9066590 0.1534594 -38.490 < 2e-16 ***
DESTIN_GRID_ID1074 -1.5516664 0.0579836 -26.760 < 2e-16 ***
DESTIN_GRID_ID1075 -0.1082659 0.0564311 -1.919 0.055041 .
DESTIN_GRID_ID1076 -0.6703782 0.0564579 -11.874 < 2e-16 ***
DESTIN_GRID_ID1077 -1.3805449 0.0569790 -24.229 < 2e-16 ***
DESTIN_GRID_ID1079 -0.3812245 0.0563217 -6.769 1.30e-11 ***
DESTIN_GRID_ID1085 -1.8295243 0.0755158 -24.227 < 2e-16 ***
DESTIN_GRID_ID1087 -1.1653632 0.0563758 -20.671 < 2e-16 ***
DESTIN_GRID_ID1088 -0.8386346 0.0563094 -14.893 < 2e-16 ***
DESTIN_GRID_ID1094 -3.1302906 0.0791530 -39.547 < 2e-16 ***
DESTIN_GRID_ID1095 -0.7537453 0.0581875 -12.954 < 2e-16 ***
DESTIN_GRID_ID1096 -0.3548056 0.0584035 -6.075 1.24e-09 ***
DESTIN_GRID_ID1097 0.3201060 0.0561528 5.701 1.19e-08 ***
DESTIN_GRID_ID1098 -2.4151342 0.0607960 -39.725 < 2e-16 ***
DESTIN_GRID_ID1099 -1.1028159 0.0566407 -19.470 < 2e-16 ***
DESTIN_GRID_ID1105 0.8465919 0.0567721 14.912 < 2e-16 ***
DESTIN_GRID_ID1106 -4.3426203 0.1159651 -37.448 < 2e-16 ***
DESTIN_GRID_ID1107 -0.7992071 0.0565435 -14.134 < 2e-16 ***
DESTIN_GRID_ID1108 1.1528038 0.0560536 20.566 < 2e-16 ***
DESTIN_GRID_ID1109 -3.5793644 0.0666008 -53.744 < 2e-16 ***
DESTIN_GRID_ID1116 -0.5009916 0.0566743 -8.840 < 2e-16 ***
DESTIN_GRID_ID1117 -0.2066052 0.0565709 -3.652 0.000260 ***
DESTIN_GRID_ID1118 -2.2193970 0.0594729 -37.318 < 2e-16 ***
DESTIN_GRID_ID1119 -1.5188422 0.0571779 -26.563 < 2e-16 ***
DESTIN_GRID_ID1120 -2.0742291 0.0591059 -35.093 < 2e-16 ***
DESTIN_GRID_ID1129 -1.8175281 0.0566370 -32.091 < 2e-16 ***
DESTIN_GRID_ID1130 -1.0044377 0.0562977 -17.842 < 2e-16 ***
DESTIN_GRID_ID1131 0.2181029 0.0564318 3.865 0.000111 ***
DESTIN_GRID_ID1136 0.6054945 0.0562291 10.768 < 2e-16 ***
DESTIN_GRID_ID1138 -1.8536091 0.0593311 -31.242 < 2e-16 ***
DESTIN_GRID_ID1139 -1.0279872 0.0565425 -18.181 < 2e-16 ***
DESTIN_GRID_ID1141 -0.9886253 0.0566242 -17.459 < 2e-16 ***
DESTIN_GRID_ID1148 -2.0551643 0.0639187 -32.153 < 2e-16 ***
DESTIN_GRID_ID1149 -2.1838464 0.0577837 -37.793 < 2e-16 ***
DESTIN_GRID_ID1150 -1.8166712 0.0564831 -32.163 < 2e-16 ***
DESTIN_GRID_ID1151 -1.0052280 0.0564150 -17.818 < 2e-16 ***
DESTIN_GRID_ID1158 -1.4146204 0.0572999 -24.688 < 2e-16 ***
DESTIN_GRID_ID1159 -1.2932522 0.0568857 -22.734 < 2e-16 ***
DESTIN_GRID_ID1160 0.3283993 0.0561525 5.848 4.96e-09 ***
DESTIN_GRID_ID1171 -0.8067654 0.0563532 -14.316 < 2e-16 ***
DESTIN_GRID_ID1172 0.5133678 0.0560951 9.152 < 2e-16 ***
DESTIN_GRID_ID1173 0.1322312 0.0562564 2.351 0.018748 *
DESTIN_GRID_ID1174 -2.1193534 0.0692699 -30.596 < 2e-16 ***
DESTIN_GRID_ID1178 0.7873455 0.0561230 14.029 < 2e-16 ***
DESTIN_GRID_ID1179 -0.1734472 0.0562692 -3.082 0.002053 **
DESTIN_GRID_ID1180 -0.0630231 0.0562128 -1.121 0.262223
DESTIN_GRID_ID1181 -1.3080450 0.0567854 -23.035 < 2e-16 ***
DESTIN_GRID_ID1183 0.4512814 0.0561507 8.037 9.21e-16 ***
DESTIN_GRID_ID1190 -1.9087881 0.0623615 -30.608 < 2e-16 ***
DESTIN_GRID_ID1192 -0.8524929 0.0562900 -15.145 < 2e-16 ***
DESTIN_GRID_ID1193 -0.5816547 0.0562729 -10.336 < 2e-16 ***
DESTIN_GRID_ID1194 0.0755808 0.0563466 1.341 0.179805
DESTIN_GRID_ID1200 -0.5260812 0.0565638 -9.301 < 2e-16 ***
DESTIN_GRID_ID1201 -0.8010814 0.0565873 -14.157 < 2e-16 ***
DESTIN_GRID_ID1203 -0.8844954 0.0566727 -15.607 < 2e-16 ***
DESTIN_GRID_ID1204 -1.0127668 0.0567306 -17.852 < 2e-16 ***
DESTIN_GRID_ID1211 -5.9398656 0.4507528 -13.178 < 2e-16 ***
DESTIN_GRID_ID1214 -1.7834277 0.0567590 -31.421 < 2e-16 ***
DESTIN_GRID_ID1215 -0.9337806 0.0572557 -16.309 < 2e-16 ***
DESTIN_GRID_ID1216 -0.3587273 0.0569401 -6.300 2.97e-10 ***
DESTIN_GRID_ID1220 -0.3196280 0.0563758 -5.670 1.43e-08 ***
DESTIN_GRID_ID1221 0.2535282 0.0561680 4.514 6.37e-06 ***
DESTIN_GRID_ID1222 -0.9442856 0.0575834 -16.399 < 2e-16 ***
DESTIN_GRID_ID1223 -1.6023343 0.0575710 -27.832 < 2e-16 ***
DESTIN_GRID_ID1224 -0.7943410 0.0565812 -14.039 < 2e-16 ***
DESTIN_GRID_ID1231 -3.4210738 0.0847221 -40.380 < 2e-16 ***
DESTIN_GRID_ID1232 -1.3894732 0.0609625 -22.792 < 2e-16 ***
DESTIN_GRID_ID1235 -0.8779162 0.0563343 -15.584 < 2e-16 ***
DESTIN_GRID_ID1236 -0.9440298 0.0566605 -16.661 < 2e-16 ***
DESTIN_GRID_ID1241 -1.6143537 0.0574224 -28.114 < 2e-16 ***
DESTIN_GRID_ID1242 -1.1434358 0.0568433 -20.116 < 2e-16 ***
DESTIN_GRID_ID1243 0.0453269 0.0562358 0.806 0.420234
DESTIN_GRID_ID1246 -1.2791883 0.0568438 -22.504 < 2e-16 ***
DESTIN_GRID_ID1256 -1.6562870 0.0567375 -29.192 < 2e-16 ***
DESTIN_GRID_ID1257 -0.4477355 0.0563744 -7.942 1.99e-15 ***
DESTIN_GRID_ID1258 0.5295764 0.0562633 9.412 < 2e-16 ***
DESTIN_GRID_ID1262 -1.9177947 0.0579263 -33.107 < 2e-16 ***
DESTIN_GRID_ID1263 0.4310573 0.0561086 7.683 1.56e-14 ***
DESTIN_GRID_ID1264 -0.3639379 0.0565270 -6.438 1.21e-10 ***
DESTIN_GRID_ID1265 -0.4531590 0.0566202 -8.003 1.21e-15 ***
DESTIN_GRID_ID1266 -0.4075455 0.0564505 -7.220 5.22e-13 ***
DESTIN_GRID_ID1267 -2.0690474 0.0594308 -34.814 < 2e-16 ***
DESTIN_GRID_ID1272 -5.6181932 0.1312624 -42.801 < 2e-16 ***
DESTIN_GRID_ID1273 -0.4750842 0.0564814 -8.411 < 2e-16 ***
DESTIN_GRID_ID1277 -0.3444119 0.0562065 -6.128 8.92e-10 ***
DESTIN_GRID_ID1278 -0.6294525 0.0563669 -11.167 < 2e-16 ***
DESTIN_GRID_ID1283 0.8661871 0.0561086 15.438 < 2e-16 ***
DESTIN_GRID_ID1284 0.4205212 0.0561497 7.489 6.93e-14 ***
DESTIN_GRID_ID1285 0.1702762 0.0562057 3.030 0.002449 **
DESTIN_GRID_ID1286 -0.7085203 0.0569431 -12.443 < 2e-16 ***
DESTIN_GRID_ID1289 -3.1104205 0.0691251 -44.997 < 2e-16 ***
DESTIN_GRID_ID1293 -4.6804112 0.1038061 -45.088 < 2e-16 ***
DESTIN_GRID_ID1294 -0.6216461 0.0567664 -10.951 < 2e-16 ***
DESTIN_GRID_ID1295 -3.1182779 0.0616854 -50.551 < 2e-16 ***
DESTIN_GRID_ID1298 -1.2194422 0.0564888 -21.587 < 2e-16 ***
DESTIN_GRID_ID1299 -1.4234128 0.0568379 -25.043 < 2e-16 ***
DESTIN_GRID_ID1304 -0.0876349 0.0563309 -1.556 0.119775
DESTIN_GRID_ID1305 -0.0798973 0.0561884 -1.422 0.155039
DESTIN_GRID_ID1307 -1.3165319 0.0592489 -22.220 < 2e-16 ***
DESTIN_GRID_ID1308 -0.1656560 0.0562935 -2.943 0.003253 **
DESTIN_GRID_ID1310 -5.0734194 0.2305200 -22.009 < 2e-16 ***
DESTIN_GRID_ID1316 -2.4052459 0.0582863 -41.266 < 2e-16 ***
DESTIN_GRID_ID1317 -2.6572243 0.0578849 -45.905 < 2e-16 ***
DESTIN_GRID_ID1318 -2.7987423 0.0588145 -47.586 < 2e-16 ***
DESTIN_GRID_ID1319 0.1659234 0.0561396 2.956 0.003121 **
DESTIN_GRID_ID1320 -1.7880214 0.0576015 -31.041 < 2e-16 ***
DESTIN_GRID_ID1324 -0.2657882 0.0594514 -4.471 7.80e-06 ***
DESTIN_GRID_ID1325 -2.1853939 0.0584404 -37.395 < 2e-16 ***
DESTIN_GRID_ID1326 -0.5201287 0.0563639 -9.228 < 2e-16 ***
DESTIN_GRID_ID1327 -0.2459552 0.0562816 -4.370 1.24e-05 ***
DESTIN_GRID_ID1328 -0.4391663 0.0564455 -7.780 7.23e-15 ***
DESTIN_GRID_ID1329 -0.6477969 0.0568476 -11.395 < 2e-16 ***
DESTIN_GRID_ID1330 0.6999003 0.0562364 12.446 < 2e-16 ***
DESTIN_GRID_ID1331 -5.9102750 0.2940577 -20.099 < 2e-16 ***
DESTIN_GRID_ID1333 -1.9915794 0.0586096 -33.980 < 2e-16 ***
DESTIN_GRID_ID1334 -1.6336329 0.0578182 -28.255 < 2e-16 ***
DESTIN_GRID_ID1335 0.0889970 0.0563009 1.581 0.113938
DESTIN_GRID_ID1336 -3.1584292 0.0740438 -42.656 < 2e-16 ***
DESTIN_GRID_ID1337 -3.5649388 0.0660801 -53.949 < 2e-16 ***
DESTIN_GRID_ID1338 -3.8426377 0.0630062 -60.988 < 2e-16 ***
DESTIN_GRID_ID1339 -0.2611193 0.0561682 -4.649 3.34e-06 ***
DESTIN_GRID_ID1340 -1.6971303 0.0570118 -29.768 < 2e-16 ***
DESTIN_GRID_ID1341 -5.3161249 0.1106260 -48.055 < 2e-16 ***
DESTIN_GRID_ID1346 -0.3876053 0.0565727 -6.851 7.31e-12 ***
DESTIN_GRID_ID1347 0.8126757 0.0561324 14.478 < 2e-16 ***
DESTIN_GRID_ID1348 -0.6542970 0.0564856 -11.583 < 2e-16 ***
DESTIN_GRID_ID1349 0.3507531 0.0562830 6.232 4.61e-10 ***
DESTIN_GRID_ID1350 -1.2918293 0.0577523 -22.368 < 2e-16 ***
DESTIN_GRID_ID1353 -0.7050065 0.0565042 -12.477 < 2e-16 ***
DESTIN_GRID_ID1354 -1.3545496 0.0569479 -23.786 < 2e-16 ***
DESTIN_GRID_ID1355 -1.7433100 0.0572966 -30.426 < 2e-16 ***
DESTIN_GRID_ID1357 -2.2115145 0.0593427 -37.267 < 2e-16 ***
DESTIN_GRID_ID1358 -0.0981571 0.0561471 -1.748 0.080427 .
DESTIN_GRID_ID1359 -1.3860974 0.0563881 -24.581 < 2e-16 ***
DESTIN_GRID_ID1360 -1.5914002 0.0564877 -28.173 < 2e-16 ***
DESTIN_GRID_ID1361 -1.5840183 0.0569427 -27.818 < 2e-16 ***
DESTIN_GRID_ID1362 -2.7457492 0.0627656 -43.746 < 2e-16 ***
DESTIN_GRID_ID1368 -1.3258961 0.0569399 -23.286 < 2e-16 ***
DESTIN_GRID_ID1369 -1.1314156 0.0567631 -19.932 < 2e-16 ***
DESTIN_GRID_ID1370 0.4538584 0.0561289 8.086 6.17e-16 ***
DESTIN_GRID_ID1371 -0.3861593 0.0564962 -6.835 8.19e-12 ***
DESTIN_GRID_ID1372 -0.3948861 0.0564186 -6.999 2.57e-12 ***
DESTIN_GRID_ID1373 -3.4333511 0.0669601 -51.275 < 2e-16 ***
DESTIN_GRID_ID1374 -2.2100683 0.0582405 -37.947 < 2e-16 ***
DESTIN_GRID_ID1375 -0.3718085 0.0565545 -6.574 4.89e-11 ***
DESTIN_GRID_ID1376 -2.0078878 0.0585685 -34.283 < 2e-16 ***
DESTIN_GRID_ID1379 -5.3077460 0.0957359 -55.442 < 2e-16 ***
DESTIN_GRID_ID1380 0.4951456 0.0560773 8.830 < 2e-16 ***
DESTIN_GRID_ID1381 0.6728320 0.0560667 12.001 < 2e-16 ***
DESTIN_GRID_ID1382 -0.1552029 0.0562204 -2.761 0.005769 **
DESTIN_GRID_ID1383 -2.8691092 0.0594940 -48.225 < 2e-16 ***
DESTIN_GRID_ID1388 -0.5533889 0.0564564 -9.802 < 2e-16 ***
DESTIN_GRID_ID1389 -0.7944839 0.0565827 -14.041 < 2e-16 ***
DESTIN_GRID_ID1390 -0.4527664 0.0564771 -8.017 1.09e-15 ***
DESTIN_GRID_ID1391 0.2669355 0.0562247 4.748 2.06e-06 ***
DESTIN_GRID_ID1392 -0.2512642 0.0571824 -4.394 1.11e-05 ***
DESTIN_GRID_ID1393 -0.9822304 0.0566441 -17.340 < 2e-16 ***
DESTIN_GRID_ID1394 -0.6574881 0.0563707 -11.664 < 2e-16 ***
DESTIN_GRID_ID1395 -1.1231730 0.0565383 -19.866 < 2e-16 ***
DESTIN_GRID_ID1396 -0.3667290 0.0562640 -6.518 7.12e-11 ***
DESTIN_GRID_ID1397 -1.4807556 0.0566947 -26.118 < 2e-16 ***
DESTIN_GRID_ID1398 -1.7487290 0.0580777 -30.110 < 2e-16 ***
DESTIN_GRID_ID1400 -2.2290926 0.0571990 -38.971 < 2e-16 ***
DESTIN_GRID_ID1401 -0.4882436 0.0561243 -8.699 < 2e-16 ***
DESTIN_GRID_ID1402 -1.2149066 0.0563081 -21.576 < 2e-16 ***
DESTIN_GRID_ID1404 -1.8917759 0.0619350 -30.545 < 2e-16 ***
DESTIN_GRID_ID1410 -0.0009718 0.0562397 -0.017 0.986213
DESTIN_GRID_ID1411 -0.4239504 0.0565598 -7.496 6.60e-14 ***
DESTIN_GRID_ID1412 0.1317093 0.0561818 2.344 0.019061 *
DESTIN_GRID_ID1413 -0.5240100 0.0564109 -9.289 < 2e-16 ***
DESTIN_GRID_ID1414 -0.5897569 0.0563292 -10.470 < 2e-16 ***
DESTIN_GRID_ID1415 -0.3048837 0.0562788 -5.417 6.05e-08 ***
DESTIN_GRID_ID1416 -0.8467235 0.0564766 -14.992 < 2e-16 ***
DESTIN_GRID_ID1417 -0.6773493 0.0562741 -12.037 < 2e-16 ***
DESTIN_GRID_ID1418 -0.7729427 0.0563188 -13.724 < 2e-16 ***
DESTIN_GRID_ID1419 -1.1073137 0.0565477 -19.582 < 2e-16 ***
DESTIN_GRID_ID1422 -1.5938051 0.0563860 -28.266 < 2e-16 ***
DESTIN_GRID_ID1423 -1.1105984 0.0562944 -19.728 < 2e-16 ***
DESTIN_GRID_ID1430 0.2283646 0.0562506 4.060 4.91e-05 ***
DESTIN_GRID_ID1431 0.4990108 0.0561450 8.888 < 2e-16 ***
DESTIN_GRID_ID1432 0.2135470 0.0561585 3.803 0.000143 ***
DESTIN_GRID_ID1433 -0.6528942 0.0568942 -11.476 < 2e-16 ***
DESTIN_GRID_ID1434 0.3227479 0.0561593 5.747 9.08e-09 ***
DESTIN_GRID_ID1435 -0.2265605 0.0562029 -4.031 5.55e-05 ***
DESTIN_GRID_ID1436 -1.5437749 0.0570633 -27.054 < 2e-16 ***
DESTIN_GRID_ID1437 -0.9315129 0.0564035 -16.515 < 2e-16 ***
DESTIN_GRID_ID1438 -0.4321235 0.0561737 -7.693 1.44e-14 ***
DESTIN_GRID_ID1439 0.3953123 0.0561093 7.045 1.85e-12 ***
DESTIN_GRID_ID1440 -0.4629855 0.0564584 -8.200 2.39e-16 ***
DESTIN_GRID_ID1442 -3.4994151 0.0594307 -58.882 < 2e-16 ***
DESTIN_GRID_ID1443 -1.5163102 0.0563694 -26.900 < 2e-16 ***
DESTIN_GRID_ID1444 -0.4788331 0.0563774 -8.493 < 2e-16 ***
DESTIN_GRID_ID1452 0.9266210 0.0560856 16.522 < 2e-16 ***
DESTIN_GRID_ID1453 -0.0533479 0.0562841 -0.948 0.343214
DESTIN_GRID_ID1454 -1.0656983 0.0574922 -18.536 < 2e-16 ***
DESTIN_GRID_ID1455 -0.4472133 0.0564955 -7.916 2.45e-15 ***
DESTIN_GRID_ID1456 -0.4868587 0.0563386 -8.642 < 2e-16 ***
DESTIN_GRID_ID1457 0.0589720 0.0562086 1.049 0.294103
DESTIN_GRID_ID1458 0.9898239 0.0560540 17.658 < 2e-16 ***
DESTIN_GRID_ID1459 -1.7974853 0.0567280 -31.686 < 2e-16 ***
DESTIN_GRID_ID1460 -0.6096443 0.0561993 -10.848 < 2e-16 ***
DESTIN_GRID_ID1461 -0.6872087 0.0564413 -12.176 < 2e-16 ***
DESTIN_GRID_ID1464 -1.6204356 0.0565117 -28.674 < 2e-16 ***
DESTIN_GRID_ID1465 -2.5452261 0.0573380 -44.390 < 2e-16 ***
DESTIN_GRID_ID1472 -0.1432334 0.0565364 -2.533 0.011294 *
DESTIN_GRID_ID1473 0.7272539 0.0561232 12.958 < 2e-16 ***
DESTIN_GRID_ID1474 0.4292917 0.0561106 7.651 2.00e-14 ***
DESTIN_GRID_ID1475 -0.0038629 0.0562030 -0.069 0.945203
DESTIN_GRID_ID1476 -0.8527908 0.0565243 -15.087 < 2e-16 ***
DESTIN_GRID_ID1477 0.8775866 0.0560465 15.658 < 2e-16 ***
DESTIN_GRID_ID1478 -0.7021859 0.0562595 -12.481 < 2e-16 ***
DESTIN_GRID_ID1479 -1.4706072 0.0565147 -26.022 < 2e-16 ***
DESTIN_GRID_ID1480 0.7411403 0.0560534 13.222 < 2e-16 ***
DESTIN_GRID_ID1481 -0.9387362 0.0564524 -16.629 < 2e-16 ***
DESTIN_GRID_ID1482 0.2512082 0.0562343 4.467 7.93e-06 ***
DESTIN_GRID_ID1485 -2.9470635 0.0577208 -51.057 < 2e-16 ***
DESTIN_GRID_ID1494 0.5556617 0.0561667 9.893 < 2e-16 ***
DESTIN_GRID_ID1495 -0.4186694 0.0563618 -7.428 1.10e-13 ***
DESTIN_GRID_ID1496 0.3874791 0.0561216 6.904 5.05e-12 ***
DESTIN_GRID_ID1497 -0.9130047 0.0565917 -16.133 < 2e-16 ***
DESTIN_GRID_ID1498 -0.7721436 0.0564215 -13.685 < 2e-16 ***
DESTIN_GRID_ID1499 -0.5024442 0.0561945 -8.941 < 2e-16 ***
DESTIN_GRID_ID1500 -0.8005770 0.0566520 -14.131 < 2e-16 ***
DESTIN_GRID_ID1501 -0.1748231 0.0561380 -3.114 0.001845 **
DESTIN_GRID_ID1502 -0.3362150 0.0561761 -5.985 2.16e-09 ***
DESTIN_GRID_ID1506 -3.1937028 0.0885169 -36.080 < 2e-16 ***
DESTIN_GRID_ID1515 -0.3522286 0.0579455 -6.079 1.21e-09 ***
DESTIN_GRID_ID1516 0.4614424 0.0561177 8.223 < 2e-16 ***
DESTIN_GRID_ID1517 -0.4434976 0.0564735 -7.853 4.06e-15 ***
DESTIN_GRID_ID1518 -1.2541708 0.0566980 -22.120 < 2e-16 ***
DESTIN_GRID_ID1519 -1.1068633 0.0566969 -19.522 < 2e-16 ***
DESTIN_GRID_ID1520 -1.2737127 0.0564660 -22.557 < 2e-16 ***
DESTIN_GRID_ID1521 -1.2197456 0.0565024 -21.587 < 2e-16 ***
DESTIN_GRID_ID1522 -0.6325252 0.0562492 -11.245 < 2e-16 ***
DESTIN_GRID_ID1523 0.7462053 0.0561883 13.280 < 2e-16 ***
DESTIN_GRID_ID1524 -1.6785625 0.0574741 -29.206 < 2e-16 ***
DESTIN_GRID_ID1527 -4.2477447 0.0668694 -63.523 < 2e-16 ***
DESTIN_GRID_ID1535 -0.8075723 0.0907256 -8.901 < 2e-16 ***
DESTIN_GRID_ID1536 -1.8565644 0.0634253 -29.272 < 2e-16 ***
DESTIN_GRID_ID1537 0.0079073 0.0563749 0.140 0.888452
DESTIN_GRID_ID1538 -0.2546563 0.0562808 -4.525 6.05e-06 ***
DESTIN_GRID_ID1539 -0.3036225 0.0562139 -5.401 6.62e-08 ***
DESTIN_GRID_ID1540 -1.0105542 0.0563701 -17.927 < 2e-16 ***
DESTIN_GRID_ID1541 -0.2492053 0.0565718 -4.405 1.06e-05 ***
DESTIN_GRID_ID1542 -1.0032325 0.0567731 -17.671 < 2e-16 ***
DESTIN_GRID_ID1543 -1.4649376 0.0631188 -23.209 < 2e-16 ***
DESTIN_GRID_ID1544 -1.2510803 0.0568373 -22.012 < 2e-16 ***
DESTIN_GRID_ID1547 -1.9046758 0.0580091 -32.834 < 2e-16 ***
DESTIN_GRID_ID1556 -0.8299099 0.0924578 -8.976 < 2e-16 ***
DESTIN_GRID_ID1557 -1.4877418 0.0599512 -24.816 < 2e-16 ***
DESTIN_GRID_ID1558 -0.3812578 0.0576860 -6.609 3.86e-11 ***
DESTIN_GRID_ID1559 0.2568606 0.0561412 4.575 4.76e-06 ***
DESTIN_GRID_ID1560 0.2285186 0.0561302 4.071 4.68e-05 ***
DESTIN_GRID_ID1561 -0.6469253 0.0564434 -11.461 < 2e-16 ***
DESTIN_GRID_ID1562 -2.5931596 0.0584815 -44.342 < 2e-16 ***
DESTIN_GRID_ID1563 -1.7848950 0.0568657 -31.388 < 2e-16 ***
DESTIN_GRID_ID1564 -1.3914700 0.0566435 -24.565 < 2e-16 ***
DESTIN_GRID_ID1565 -0.7999643 0.0563626 -14.193 < 2e-16 ***
DESTIN_GRID_ID1566 -2.6013038 0.0585933 -44.396 < 2e-16 ***
DESTIN_GRID_ID1567 -2.4443531 0.0589217 -41.485 < 2e-16 ***
DESTIN_GRID_ID1568 -1.3997901 0.0571819 -24.480 < 2e-16 ***
DESTIN_GRID_ID1578 -1.3317668 0.1247783 -10.673 < 2e-16 ***
DESTIN_GRID_ID1580 -2.6312253 0.0633130 -41.559 < 2e-16 ***
DESTIN_GRID_ID1581 -0.2057464 0.0562240 -3.659 0.000253 ***
DESTIN_GRID_ID1582 -0.0366758 0.0561412 -0.653 0.513576
DESTIN_GRID_ID1583 -1.9573537 0.0602887 -32.466 < 2e-16 ***
DESTIN_GRID_ID1584 -1.6683357 0.0574309 -29.049 < 2e-16 ***
DESTIN_GRID_ID1585 -1.3375310 0.0567300 -23.577 < 2e-16 ***
DESTIN_GRID_ID1586 -0.5228187 0.0562644 -9.292 < 2e-16 ***
DESTIN_GRID_ID1589 -2.8095635 0.0603241 -46.574 < 2e-16 ***
DESTIN_GRID_ID1590 -1.5912652 0.0576689 -27.593 < 2e-16 ***
DESTIN_GRID_ID1600 -0.7719995 0.0583734 -13.225 < 2e-16 ***
DESTIN_GRID_ID1601 -1.1343975 0.0565247 -20.069 < 2e-16 ***
DESTIN_GRID_ID1602 -0.8012356 0.0564654 -14.190 < 2e-16 ***
DESTIN_GRID_ID1603 0.3253909 0.0561394 5.796 6.79e-09 ***
DESTIN_GRID_ID1604 -1.9584876 0.0571334 -34.279 < 2e-16 ***
DESTIN_GRID_ID1605 -0.9184125 0.0563231 -16.306 < 2e-16 ***
DESTIN_GRID_ID1606 -1.7694531 0.0580690 -30.472 < 2e-16 ***
DESTIN_GRID_ID1607 -0.3420117 0.0561627 -6.090 1.13e-09 ***
DESTIN_GRID_ID1608 -1.1995027 0.0564174 -21.261 < 2e-16 ***
DESTIN_GRID_ID1609 -0.4067396 0.0562434 -7.232 4.77e-13 ***
DESTIN_GRID_ID1610 -2.5602787 0.0625845 -40.909 < 2e-16 ***
DESTIN_GRID_ID1622 -0.5307141 0.0574529 -9.237 < 2e-16 ***
DESTIN_GRID_ID1623 -0.0941558 0.0561634 -1.676 0.093648 .
DESTIN_GRID_ID1624 0.4629904 0.0561303 8.248 < 2e-16 ***
DESTIN_GRID_ID1625 -0.4570430 0.0563072 -8.117 4.78e-16 ***
DESTIN_GRID_ID1626 1.2170957 0.0560377 21.719 < 2e-16 ***
DESTIN_GRID_ID1627 -1.8811894 0.0567651 -33.140 < 2e-16 ***
DESTIN_GRID_ID1628 0.1426169 0.0561152 2.542 0.011038 *
DESTIN_GRID_ID1629 -2.9468920 0.0582788 -50.565 < 2e-16 ***
DESTIN_GRID_ID1630 -2.5444327 0.0574015 -44.327 < 2e-16 ***
DESTIN_GRID_ID1631 -2.7063910 0.0588246 -46.008 < 2e-16 ***
DESTIN_GRID_ID1642 -2.8422322 0.0654119 -43.451 < 2e-16 ***
DESTIN_GRID_ID1643 -0.5850771 0.0563283 -10.387 < 2e-16 ***
DESTIN_GRID_ID1644 -0.5786860 0.0565944 -10.225 < 2e-16 ***
DESTIN_GRID_ID1645 -0.7519588 0.0563930 -13.334 < 2e-16 ***
DESTIN_GRID_ID1646 -0.4625165 0.0565860 -8.174 2.99e-16 ***
DESTIN_GRID_ID1647 -1.2365808 0.0563769 -21.934 < 2e-16 ***
DESTIN_GRID_ID1648 -1.1033626 0.0563011 -19.598 < 2e-16 ***
DESTIN_GRID_ID1649 -0.5813824 0.0561639 -10.352 < 2e-16 ***
DESTIN_GRID_ID1650 -1.5115035 0.0565587 -26.724 < 2e-16 ***
DESTIN_GRID_ID1664 -5.0505052 0.1428160 -35.364 < 2e-16 ***
DESTIN_GRID_ID1665 0.0158901 0.0561500 0.283 0.777181
DESTIN_GRID_ID1666 0.0577189 0.0561440 1.028 0.303926
DESTIN_GRID_ID1667 -0.6540740 0.0578912 -11.298 < 2e-16 ***
DESTIN_GRID_ID1668 -1.2237500 0.0564655 -21.673 < 2e-16 ***
DESTIN_GRID_ID1670 -0.7326496 0.0561840 -13.040 < 2e-16 ***
DESTIN_GRID_ID1671 -1.3128145 0.0573097 -22.907 < 2e-16 ***
DESTIN_GRID_ID1672 -2.3117827 0.0575291 -40.185 < 2e-16 ***
DESTIN_GRID_ID1684 -0.2525194 0.0567523 -4.449 8.61e-06 ***
DESTIN_GRID_ID1685 -1.4936332 0.0568481 -26.274 < 2e-16 ***
DESTIN_GRID_ID1686 -0.6041017 0.0563027 -10.730 < 2e-16 ***
DESTIN_GRID_ID1687 -0.3463669 0.0564337 -6.138 8.38e-10 ***
DESTIN_GRID_ID1688 -1.1541720 0.0564644 -20.441 < 2e-16 ***
DESTIN_GRID_ID1689 -1.9162282 0.0569737 -33.634 < 2e-16 ***
DESTIN_GRID_ID1690 -2.6258444 0.0577365 -45.480 < 2e-16 ***
DESTIN_GRID_ID1691 -0.6372082 0.0561745 -11.343 < 2e-16 ***
DESTIN_GRID_ID1692 -2.7295869 0.0580745 -47.001 < 2e-16 ***
DESTIN_GRID_ID1706 -0.7213099 0.0565873 -12.747 < 2e-16 ***
DESTIN_GRID_ID1707 -1.5162920 0.0566952 -26.745 < 2e-16 ***
DESTIN_GRID_ID1708 -0.9197583 0.0564059 -16.306 < 2e-16 ***
DESTIN_GRID_ID1709 -0.1623875 0.0561933 -2.890 0.003855 **
DESTIN_GRID_ID1710 -0.3449991 0.0562248 -6.136 8.46e-10 ***
DESTIN_GRID_ID1711 0.1148760 0.0561152 2.047 0.040644 *
DESTIN_GRID_ID1712 -0.8012884 0.0561873 -14.261 < 2e-16 ***
DESTIN_GRID_ID1713 -3.1775767 0.0584388 -54.374 < 2e-16 ***
DESTIN_GRID_ID1714 -1.8678712 0.0567284 -32.927 < 2e-16 ***
DESTIN_GRID_ID1727 -0.2392986 0.0562932 -4.251 2.13e-05 ***
DESTIN_GRID_ID1728 -0.2182195 0.0561916 -3.883 0.000103 ***
DESTIN_GRID_ID1729 -0.1080958 0.0561681 -1.925 0.054291 .
DESTIN_GRID_ID1730 -1.0988256 0.0566331 -19.403 < 2e-16 ***
DESTIN_GRID_ID1731 -0.2765625 0.0561834 -4.922 8.54e-07 ***
DESTIN_GRID_ID1732 -0.9576790 0.0562249 -17.033 < 2e-16 ***
DESTIN_GRID_ID1733 -2.1257355 0.0566991 -37.491 < 2e-16 ***
DESTIN_GRID_ID1734 -0.9176593 0.0562206 -16.322 < 2e-16 ***
DESTIN_GRID_ID1735 -1.7634137 0.0583526 -30.220 < 2e-16 ***
DESTIN_GRID_ID1748 -1.2815920 0.0568306 -22.551 < 2e-16 ***
DESTIN_GRID_ID1749 -0.0846258 0.0561529 -1.507 0.131795
DESTIN_GRID_ID1750 -0.1015886 0.0561646 -1.809 0.070488 .
DESTIN_GRID_ID1751 -0.5491641 0.0563599 -9.744 < 2e-16 ***
DESTIN_GRID_ID1753 -0.3839534 0.0561824 -6.834 8.25e-12 ***
DESTIN_GRID_ID1754 0.4581878 0.0560575 8.174 3.00e-16 ***
DESTIN_GRID_ID1755 -0.3376096 0.0561126 -6.017 1.78e-09 ***
DESTIN_GRID_ID1756 -1.4143677 0.0563141 -25.116 < 2e-16 ***
DESTIN_GRID_ID1757 -3.7105091 0.0606581 -61.171 < 2e-16 ***
DESTIN_GRID_ID1769 -0.5480300 0.0563451 -9.726 < 2e-16 ***
DESTIN_GRID_ID1770 -0.8141407 0.0566426 -14.373 < 2e-16 ***
DESTIN_GRID_ID1771 -0.0151404 0.0562424 -0.269 0.787777
DESTIN_GRID_ID1772 1.0894845 0.0564628 19.296 < 2e-16 ***
DESTIN_GRID_ID1774 -1.5350428 0.0564650 -27.186 < 2e-16 ***
DESTIN_GRID_ID1775 -1.9571028 0.0565803 -34.590 < 2e-16 ***
DESTIN_GRID_ID1776 0.2338752 0.0560669 4.171 3.03e-05 ***
DESTIN_GRID_ID1777 -1.9401201 0.0565585 -34.303 < 2e-16 ***
DESTIN_GRID_ID1778 -2.8691781 0.0605517 -47.384 < 2e-16 ***
DESTIN_GRID_ID1790 -0.0130180 0.0562617 -0.231 0.817018
DESTIN_GRID_ID1791 -0.6760947 0.0564001 -11.987 < 2e-16 ***
DESTIN_GRID_ID1792 -0.3916131 0.0564887 -6.933 4.13e-12 ***
DESTIN_GRID_ID1793 -0.4101186 0.0563109 -7.283 3.26e-13 ***
DESTIN_GRID_ID1794 1.4019396 0.0565021 24.812 < 2e-16 ***
DESTIN_GRID_ID1795 -2.8587225 0.0599622 -47.675 < 2e-16 ***
DESTIN_GRID_ID1796 -0.8668181 0.0562598 -15.407 < 2e-16 ***
DESTIN_GRID_ID1797 -1.2938850 0.0562880 -22.987 < 2e-16 ***
DESTIN_GRID_ID1798 -1.2151999 0.0562592 -21.600 < 2e-16 ***
DESTIN_GRID_ID1799 -2.1646019 0.0568101 -38.102 < 2e-16 ***
DESTIN_GRID_ID1800 -4.2838114 0.0860409 -49.788 < 2e-16 ***
DESTIN_GRID_ID1811 -1.0537780 0.0566797 -18.592 < 2e-16 ***
DESTIN_GRID_ID1812 0.3848652 0.0560969 6.861 6.85e-12 ***
DESTIN_GRID_ID1813 0.6162226 0.0560849 10.987 < 2e-16 ***
DESTIN_GRID_ID1817 -2.7036680 0.0577275 -46.835 < 2e-16 ***
DESTIN_GRID_ID1818 -1.6075036 0.0563238 -28.540 < 2e-16 ***
DESTIN_GRID_ID1819 0.0617289 0.0560815 1.101 0.271028
DESTIN_GRID_ID1820 -4.6282323 0.0758112 -61.049 < 2e-16 ***
DESTIN_GRID_ID1832 0.1606066 0.0561946 2.858 0.004263 **
DESTIN_GRID_ID1833 -1.0937429 0.0565078 -19.356 < 2e-16 ***
DESTIN_GRID_ID1834 -1.0764524 0.0564304 -19.076 < 2e-16 ***
DESTIN_GRID_ID1835 -0.9856791 0.0565354 -17.435 < 2e-16 ***
DESTIN_GRID_ID1837 -1.1248297 0.0577602 -19.474 < 2e-16 ***
DESTIN_GRID_ID1839 -2.7767471 0.0576561 -48.160 < 2e-16 ***
DESTIN_GRID_ID1840 0.1371328 0.0560917 2.445 0.014493 *
DESTIN_GRID_ID1841 -3.7681136 0.0627643 -60.036 < 2e-16 ***
DESTIN_GRID_ID1842 -1.2528831 0.0589110 -21.267 < 2e-16 ***
DESTIN_GRID_ID1853 -0.5788568 0.0563128 -10.279 < 2e-16 ***
DESTIN_GRID_ID1854 -0.4160452 0.0562603 -7.395 1.41e-13 ***
DESTIN_GRID_ID1855 -0.0191852 0.0561897 -0.341 0.732776
DESTIN_GRID_ID1858 0.0414177 0.0566256 0.731 0.464516
DESTIN_GRID_ID1860 -2.1310973 0.0602292 -35.383 < 2e-16 ***
DESTIN_GRID_ID1861 -1.3952244 0.0563434 -24.763 < 2e-16 ***
DESTIN_GRID_ID1874 -1.0855100 0.0569935 -19.046 < 2e-16 ***
DESTIN_GRID_ID1875 -2.8574722 0.0608777 -46.938 < 2e-16 ***
DESTIN_GRID_ID1876 -1.5313718 0.0612441 -25.004 < 2e-16 ***
DESTIN_GRID_ID1877 -0.2312845 0.0562271 -4.113 3.90e-05 ***
DESTIN_GRID_ID1880 -0.8847918 0.0577689 -15.316 < 2e-16 ***
DESTIN_GRID_ID1882 -1.4881091 0.0563970 -26.386 < 2e-16 ***
DESTIN_GRID_ID1883 -2.6017954 0.0600900 -43.298 < 2e-16 ***
DESTIN_GRID_ID1895 -0.1139929 0.0562323 -2.027 0.042644 *
DESTIN_GRID_ID1896 -1.2466086 0.0565832 -22.031 < 2e-16 ***
DESTIN_GRID_ID1897 -2.0829288 0.0575077 -36.220 < 2e-16 ***
DESTIN_GRID_ID1898 -2.4278095 0.0615841 -39.423 < 2e-16 ***
DESTIN_GRID_ID1901 -1.4093963 0.0596240 -23.638 < 2e-16 ***
DESTIN_GRID_ID1903 -3.0379875 0.0592725 -51.255 < 2e-16 ***
DESTIN_GRID_ID1917 -1.4581742 0.0568565 -25.647 < 2e-16 ***
DESTIN_GRID_ID1918 -0.2412144 0.0564184 -4.275 1.91e-05 ***
DESTIN_GRID_ID1919 -0.1151776 0.0562051 -2.049 0.040439 *
DESTIN_GRID_ID1922 -0.1789836 0.0570040 -3.140 0.001690 **
DESTIN_GRID_ID1924 -3.2785666 0.0608948 -53.840 < 2e-16 ***
DESTIN_GRID_ID1937 -0.7695804 0.0565468 -13.610 < 2e-16 ***
DESTIN_GRID_ID1938 -0.0194693 0.0561885 -0.346 0.728968
DESTIN_GRID_ID1939 -1.3027496 0.0567805 -22.944 < 2e-16 ***
DESTIN_GRID_ID1942 -1.5342346 0.0591851 -25.923 < 2e-16 ***
DESTIN_GRID_ID1959 -1.2667483 0.0569344 -22.249 < 2e-16 ***
DESTIN_GRID_ID1960 1.0856630 0.0560463 19.371 < 2e-16 ***
DESTIN_GRID_ID1961 -1.4236741 0.0569174 -25.013 < 2e-16 ***
DESTIN_GRID_ID1962 -0.6072145 0.0563446 -10.777 < 2e-16 ***
DESTIN_GRID_ID1964 0.1040360 0.0571538 1.820 0.068716 .
DESTIN_GRID_ID1979 -0.7365231 0.0566393 -13.004 < 2e-16 ***
DESTIN_GRID_ID1980 -1.0450805 0.0564471 -18.514 < 2e-16 ***
DESTIN_GRID_ID1981 -1.0952301 0.0565034 -19.383 < 2e-16 ***
DESTIN_GRID_ID1982 -0.6022679 0.0565705 -10.646 < 2e-16 ***
DESTIN_GRID_ID1983 -0.7476838 0.0563617 -13.266 < 2e-16 ***
DESTIN_GRID_ID1984 -0.5719567 0.0563455 -10.151 < 2e-16 ***
DESTIN_GRID_ID1985 -0.4486702 0.0563039 -7.969 1.60e-15 ***
DESTIN_GRID_ID2001 -0.7559197 0.0564254 -13.397 < 2e-16 ***
DESTIN_GRID_ID2002 -0.7571133 0.0562718 -13.455 < 2e-16 ***
DESTIN_GRID_ID2003 -0.0957418 0.0561797 -1.704 0.088343 .
DESTIN_GRID_ID2004 0.0613884 0.0561709 1.093 0.274444
DESTIN_GRID_ID2005 -0.9289575 0.0564119 -16.467 < 2e-16 ***
DESTIN_GRID_ID2006 -0.0196718 0.0562031 -0.350 0.726329
DESTIN_GRID_ID2007 -3.4532271 0.0650393 -53.094 < 2e-16 ***
DESTIN_GRID_ID2022 -0.2413019 0.0564255 -4.276 1.90e-05 ***
DESTIN_GRID_ID2023 -0.2385955 0.0562068 -4.245 2.19e-05 ***
DESTIN_GRID_ID2024 0.0888361 0.0561369 1.582 0.113537
DESTIN_GRID_ID2025 -1.3189647 0.0564564 -23.363 < 2e-16 ***
DESTIN_GRID_ID2026 -1.9836986 0.0574439 -34.533 < 2e-16 ***
DESTIN_GRID_ID2027 0.0794034 0.0561736 1.414 0.157498
DESTIN_GRID_ID2043 -1.6939575 0.0573789 -29.522 < 2e-16 ***
DESTIN_GRID_ID2044 -0.7416333 0.0563421 -13.163 < 2e-16 ***
DESTIN_GRID_ID2045 -1.3486263 0.0573681 -23.508 < 2e-16 ***
DESTIN_GRID_ID2046 0.0101104 0.0561227 0.180 0.857037
DESTIN_GRID_ID2047 -1.9129633 0.0569345 -33.599 < 2e-16 ***
DESTIN_GRID_ID2048 -1.6345858 0.0567824 -28.787 < 2e-16 ***
DESTIN_GRID_ID2049 -3.3672837 0.0637015 -52.860 < 2e-16 ***
DESTIN_GRID_ID2064 -0.8558199 0.0564985 -15.148 < 2e-16 ***
DESTIN_GRID_ID2065 -0.9830578 0.0564898 -17.402 < 2e-16 ***
DESTIN_GRID_ID2066 -3.3265093 0.0676845 -49.147 < 2e-16 ***
DESTIN_GRID_ID2067 1.5571567 0.0560353 27.789 < 2e-16 ***
DESTIN_GRID_ID2068 -2.0045872 0.0580700 -34.520 < 2e-16 ***
DESTIN_GRID_ID2069 -1.4433907 0.0567768 -25.422 < 2e-16 ***
DESTIN_GRID_ID2085 -0.6616652 0.0565107 -11.709 < 2e-16 ***
DESTIN_GRID_ID2086 0.6503283 0.0561269 11.587 < 2e-16 ***
DESTIN_GRID_ID2087 0.3418799 0.0561442 6.089 1.13e-09 ***
DESTIN_GRID_ID2088 -0.9151385 0.0563215 -16.248 < 2e-16 ***
DESTIN_GRID_ID2089 -1.3927175 0.0567872 -24.525 < 2e-16 ***
DESTIN_GRID_ID2090 1.2511807 0.0560550 22.321 < 2e-16 ***
DESTIN_GRID_ID2091 -4.1458338 0.0905430 -45.789 < 2e-16 ***
DESTIN_GRID_ID2105 -1.5215766 0.0870270 -17.484 < 2e-16 ***
DESTIN_GRID_ID2106 -2.2032182 0.0581588 -37.883 < 2e-16 ***
DESTIN_GRID_ID2107 0.5208126 0.0561288 9.279 < 2e-16 ***
DESTIN_GRID_ID2108 0.1179298 0.0562113 2.098 0.035908 *
DESTIN_GRID_ID2109 -1.3567547 0.0564672 -24.027 < 2e-16 ***
DESTIN_GRID_ID2110 -2.0168760 0.0573908 -35.143 < 2e-16 ***
DESTIN_GRID_ID2111 -3.1899384 0.0667285 -47.805 < 2e-16 ***
DESTIN_GRID_ID2128 -0.4609520 0.0566543 -8.136 4.08e-16 ***
DESTIN_GRID_ID2129 -0.7918493 0.0570905 -13.870 < 2e-16 ***
DESTIN_GRID_ID2130 -0.7544877 0.0563009 -13.401 < 2e-16 ***
DESTIN_GRID_ID2131 -0.7887161 0.0565354 -13.951 < 2e-16 ***
DESTIN_GRID_ID2132 -1.3675025 0.0566324 -24.147 < 2e-16 ***
DESTIN_GRID_ID2148 -1.3925651 0.0584883 -23.809 < 2e-16 ***
DESTIN_GRID_ID2149 -1.3470784 0.0571891 -23.555 < 2e-16 ***
DESTIN_GRID_ID2150 -1.1519052 0.0567867 -20.285 < 2e-16 ***
DESTIN_GRID_ID2151 0.6812585 0.0560839 12.147 < 2e-16 ***
DESTIN_GRID_ID2152 -0.3767310 0.0562759 -6.694 2.17e-11 ***
DESTIN_GRID_ID2153 -1.6570550 0.0573799 -28.879 < 2e-16 ***
DESTIN_GRID_ID2171 -0.1614541 0.0563139 -2.867 0.004143 **
DESTIN_GRID_ID2172 -1.8136799 0.0573164 -31.643 < 2e-16 ***
DESTIN_GRID_ID2173 -1.3600508 0.0565434 -24.053 < 2e-16 ***
DESTIN_GRID_ID2174 -0.6597185 0.0564178 -11.693 < 2e-16 ***
DESTIN_GRID_ID2191 0.0349026 0.0566418 0.616 0.537763
DESTIN_GRID_ID2192 -1.1757185 0.0571779 -20.562 < 2e-16 ***
DESTIN_GRID_ID2193 -0.4855241 0.0563887 -8.610 < 2e-16 ***
DESTIN_GRID_ID2194 -0.5772496 0.0563220 -10.249 < 2e-16 ***
DESTIN_GRID_ID2195 -2.6357737 0.0695588 -37.893 < 2e-16 ***
DESTIN_GRID_ID2212 0.3924103 0.0577911 6.790 1.12e-11 ***
DESTIN_GRID_ID2213 -0.2740086 0.0567490 -4.828 1.38e-06 ***
DESTIN_GRID_ID2214 0.6264175 0.0565157 11.084 < 2e-16 ***
DESTIN_GRID_ID2215 -1.1816434 0.0569526 -20.748 < 2e-16 ***
DESTIN_GRID_ID2216 -0.2350392 0.0563390 -4.172 3.02e-05 ***
DESTIN_GRID_ID2233 0.5420208 0.0569699 9.514 < 2e-16 ***
DESTIN_GRID_ID2234 1.1527985 0.0566628 20.345 < 2e-16 ***
DESTIN_GRID_ID2235 -0.2339333 0.0568109 -4.118 3.83e-05 ***
DESTIN_GRID_ID2236 -1.6835103 0.0577471 -29.153 < 2e-16 ***
DESTIN_GRID_ID2237 -0.1584374 0.0572522 -2.767 0.005651 **
DESTIN_GRID_ID2256 0.0121830 0.0574721 0.212 0.832122
DESTIN_GRID_ID2257 -2.5505370 0.0633050 -40.290 < 2e-16 ***
DESTIN_GRID_ID2258 -0.4115031 0.0564954 -7.284 3.24e-13 ***
DESTIN_GRID_ID2259 0.6279892 0.0570194 11.014 < 2e-16 ***
DESTIN_GRID_ID2277 -1.2173962 0.0620223 -19.628 < 2e-16 ***
DESTIN_GRID_ID2278 -1.0456064 0.0586792 -17.819 < 2e-16 ***
DESTIN_GRID_ID2279 -0.2190166 0.0565184 -3.875 0.000107 ***
DESTIN_GRID_ID2280 -1.5661497 0.0658190 -23.795 < 2e-16 ***
DESTIN_GRID_ID2297 -1.5180290 0.0597704 -25.398 < 2e-16 ***
DESTIN_GRID_ID2300 -1.2084605 0.0598413 -20.194 < 2e-16 ***
DESTIN_GRID_ID2301 -0.5177263 0.0569144 -9.097 < 2e-16 ***
DESTIN_GRID_ID2318 0.8559589 0.0562935 15.205 < 2e-16 ***
DESTIN_GRID_ID2319 0.7832506 0.0562798 13.917 < 2e-16 ***
DESTIN_GRID_ID2322 -0.2353616 0.0569073 -4.136 3.54e-05 ***
DESTIN_GRID_ID2337 0.1632978 0.0597609 2.733 0.006285 **
DESTIN_GRID_ID2341 1.0071028 0.0562664 17.899 < 2e-16 ***
DESTIN_GRID_ID2343 -1.0978315 0.0577979 -18.994 < 2e-16 ***
DESTIN_GRID_ID2361 -0.2505527 0.0568763 -4.405 1.06e-05 ***
DESTIN_GRID_ID2364 -2.3271081 0.0667987 -34.838 < 2e-16 ***
DESTIN_GRID_ID2379 -1.0610675 0.0631045 -16.814 < 2e-16 ***
DESTIN_GRID_ID2384 0.8417938 0.0564273 14.918 < 2e-16 ***
DESTIN_GRID_ID2405 1.6147145 0.0562218 28.720 < 2e-16 ***
DESTIN_GRID_ID2406 -1.4182461 0.0610475 -23.232 < 2e-16 ***
DESTIN_GRID_ID2426 1.0411268 0.0571498 18.218 < 2e-16 ***
DESTIN_GRID_ID2427 1.3042126 0.0564316 23.111 < 2e-16 ***
DESTIN_GRID_ID2505 0.7588019 0.0596962 12.711 < 2e-16 ***
log(dist) -1.5867425 0.0003232 -4910.023 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 80378356 on 62117 degrees of freedom
Residual deviance: 20588400 on 60483 degrees of freedom
AIC: 20927016
Number of Fisher Scoring iterations: 9Conclusion and limitations
Four Spatial Interaction Models were built and compared to find out the important factors influencing the commuter flow in the Weekday Morning peak period. The R-squared values for the UNC, ORC, DEC and DBC models are 0.24, 0.38, 0.37 and 0.59 respectively. From the UNC and ORC models, the significant factors affecting commuter flow are distance (negative relationship), destination MRT station exits count and destination school count (in order of highest influence first). From the DEC model, the significant factors are distance and 5room flat dwellers count.
When the outliers were removed, the R-squared value of the new DBC model increased to 0.61. Possible reason why the model could not predict flow of bus stops near Woodlands Checkpoint region could be that the number of people commuting between JB and Singapore daily for work purpose is really too huge and concentrated over Woodlands. We are also lacking the work opportunities information in JB side for model to predict properly.
With the models created, possible ‘what-if’ scenarios can be simulated; take for instance what if there are new MRT stations / development of a new residential town in the future? The models could predict new flows patterns and assist transport authority to plan ahead.
Limitations of this exercise would include:
- The Passenger Volume by Origin Destination Bus Stops data used do not included any transfer trip information. With our attractive and propulsive attributes, we can only assume that passengers take only 1 bus trip from source to their intended destination. With the inclusion of the MRT train station exits locations, we factor in the possibility of passenger commuting to MRT station for transfer.
- The population density distribution of Residents could only be estimated from the HDB.csv and not directly taken from the Resident Distribution by single age and subzone dataset because we have reduced our basic spatial unit to 750m hexagons instead of subzone (to reduce social-economic and spatial aggregation errors). Now, each hexagon could have a mix of 7 subzones inside it, thus use of Resident Distribution by single age and subzone dataset is inappropriate (otherwise we could have achieved better results).
Acknowledgement
I would like to extend my heartfelt gratitude to Prof Kam for being an exceptional instructor and mentor throughout all his courses that I have attended. His dedication, patience, and generosity in sharing knowledge have made a profound impact on my MITB journey. Thank you!
References
Tin Seong Kam. “2 Choropleth Mapping with R” From R for Geospatial Data Science and Analytics https://r4gdsa.netlify.app/chap02
Tin Seong Kam. “15 Processing and Visualszing Flow Data” From R for Geospatial Data Science and Analytics https://r4gdsa.netlify.app/chap15
Tin Seong Kam. “In-Class Exercise 4: Preparing Spatial Interaction Modelling Variables” https://isss624.netlify.app/in-class_ex/in-class_ex4/in-class_ex4-gds#data-integration-and-final-touch-up